Publications

I n   t h e   W o r k

안도연
  1. Identification of Genomic Prognostic Biomarkers in Triple-Negative Breast Cancer Patients Using a MOFA+ Model
  2. Multi-Source Data Quality Indicator Framework for National Biobanks: Development and Application to the Korea Bio Big Data
  3. HIR 리뷰논문
  4. 심리상담 데이터 데이터 품질논문
  5. 유전체 데이터 품질관리 논문
  6. 임상 유전체 데이터 통합 관리 도구 논문  (파일 링크)

임민식
  1. A multi-dimensional quality validation framework for synthetic pathology images of gastric and breast cancer to support AI model development
  2. Data Quality Governance and Management Practices in Health Data Programs: A Scoping review

김석준
  1. LLM-based automated feature extraction for schizophrenia detection using Korean clinical interview transcripts with external validation
  2. Towards Persona-Driven Schizophrenia Interview Synthesis with Language Models
  3. Towards Automated Data Quality Assurance in CDM: A Large Language Model-Based Framework from Natural Language Rule Proposal to SQL Execution
김형찬
  1. Speech-Based Acoustic Biomarkers for Schizophrenia: Machine Learning Classification and Associations with PANSS Negative Symptoms

주제현
  1. ​​Confidence-Calibrated LLM Extraction of Clinical Features from Free-Text Reports in Gastric Cancer
​


U n d e r   R e v i e w

리뷰 중 
  1. MDV CDM: Medical device vigilance common data models for active surveillance in real-world data
  2. Multi-Agent Cross-Review of Large Language Models for Medical Question Answering Under Noisy Clinical Text: Development and Evaluation Study
  3. An Explainable Machine Learning for the Interpretation of Cardiovascular Event Risks in Patients with Type 2 Diabetes
  4. ​Smartphone passive sensing as a digital phenotype of motivational and behavioral withdrawal in schizophrenia
  5. Quality evaluation of mobile apps to develop adverse drug reactions monitoring in Korea  (공동연구)
  6. Predicting Adverse Drug Reactions Using Word Embedding with BERT-Based Models : Comparative Study (공동연구)
  7. National Trends in Violence Victimization and COVID-19 Pandemic-–Related related Risk Factors Among South Korean Adolescents From from 2012 to 2022  (공동연구)


  1. 익명화를 통한 EHR자료 합성데이터 생성 연구
  2. SAVE US: 국내 약물 부작용 관리를 위한 어플 개발과 실증
  3. Age-related adverse drug event reports in South Korean patients


2 0 2 6
[SCIE]
​​
1. Chung-Chun Lee, Grace Juyun Kim, Jee-Young Hong, Won Min Hwang, Jong-Yeop Kim, Kye Hwa Lee, Kwangsoo Kim, Min-Gyu Kang, Ju Han Kim and Suehyun Lee, "Multi-institutional drug use patterns in hospitalized elderly patients: a retrospective cross sectional study", JMIR Medical Informatics, January 2026 (2025 JCR IF: 5.0)  (Corresponding author)  doi.org/10.2196/78353

2. Minsik Lim, Doyeon An, Woongsang Sunwoo, Nayeong Son and Suehyun Lee, "A Practical Approach to Assesing the Completeness of Electronic Health Records for Medical Research: A Data Quality Study", JMIR Medical Informatics, March 2026 (2025 JCR IF: 5.0) (Corresponding author) doi.org/10.2196/68935 
​​​​
3. Khongorzul Dashdondov, Suehyun Lee and Mi-Hye Kim, "Assessing diabetes risk factors using explainable AI and SMOTEENN: a nutrition-based analysis in South Korea", BMC Public Health, August 2026 (2025 JCR IF: 4.4) ​doi.org/10.1186/s12889-026-26868-6

4. Hye Hyeon Kim, Seok Jun Kim, Dae-Kwang Kim, Eun-Kyoung Jeon, Yoonjoo Choi, Jae-Min Kim, Sung-Wan Kim, Suehyun Lee, Min Jhon, and Ju-Wan Kim, "Daily Language as an Objective Indicator of Depressive Affective States: A Two-Week Ecological Momentary Assessment Study in Emotional Labor Workers", Psychiatry Investigation, September 2026 (2025 JCR IF: 2.0) (Corresponding author) doi.org/10.30773/pi.2026.0035

5. Seunghyong Ryu, Ju-Wan Kim, Min Jhon, Young-Chul Chung, Seok Jun Kim, Suehyun Lee, Jae-Min Kim and Sung-Wan Kim, "Distinctive lexical profiles in Korean-speaking patients with schizophrenia: Analysis of verbal productivity, lexical diversity, and part-of-speech distributions", Psychiatry Research, November 2026 (2025 JCR IF: 5.1) doi.org/10.1016/j.psychres.2026.117402
​
6. Seunghyong Ryu, Ju-Wan Kim, Min Jhon, Young-Chul Chung, Seok Jun Kim, Suehyun Lee, Jae-Min Kim and Sung-Wan Kim, "Tracking the dynamic breakdown of contextual coherence in schizophrenia using language models", Frontiers in Psychiatry, June 2026 (2025 JCR IF: 3.8) doi.org/10.3389/fpsyt.2026.1848956
​
7. Seunghyong Ryu, Ju-Wan Kim, Min Jhon, Young-Chul Chung, Seok Jun Kim, Suehyun Lee, Jae-Min Kim and Sung-Wan Kim, "Perplexity and pseudo-perplexity as objective measures of linguistic deficits in schizophrenia: Evidence from a Korean-Speaking cohort", Schizophrenia Research, August 2026 (2025 JCR IF: 3.7) doi.org/10.1016/j.schres.2026.04.030
​
​

2 0 2 5
[SCIE]
​
1. Junhyeok Jeon, Eujin Hong, Jong-Yeup Kim, Suehyun Lee and Hyun Uk Kim, "Predicting the physiological effects of multiple drugs using electronic health record", Computers in Biology and Medicine, vol 184, January 2025 
(2024 JCR IF: 6.3) - Top 6% Journal  doi.org/10.1016/j.compbiomed.2024.109485

2. Woohyuk Jeon, Minjae Park, Doyeon An, Wonshik Nam, Ju-Young Shin, Seunghee Lee and Suehyun Lee, "Context-Aware Biomedical Word Embeddings Enhance ADR Prediction: A Shift from Word2Vec to BERT", JMIR Medical Informatics, (2025 JCR IF: 5.0)  (Corresponding author)  doi.org/10.2196/67513
​
3. Jun Seo Kim, Jeong Hoon Lee, Yousung Yeon, Doyeon An, Seok Jun Kim, Myung-Giun Noh and Suehyun Lee, "Predicting Nottingham grade in breast cancer digital pathology using a foundation model", Breast Cancer Research, vol 27, issue 1, pp. 1-14, 2025 (2025 JCR IF: 6.2)  (Corresponding author)  doi.org/10.1186/s13058-025-02019-4
​
4. Doyeon An, Minsik Lim and Suehyun Lee, "Challenges for Data Quality in the Clinical Data Life Cycle: Systematic Review", Journal of Medical Internet Research, vol 27, pp. 15, April 2025 (2025 JCR IF: 8.2) - Top 4% Journal  
(Corresponding author)  doi.org/10.2196/60709

5. Kyungyeon Jung, Ju Hwan Kim, Sungho Bea, Hwa Yeon Ko, Seng Chan You, Eue-Keun Choi, Suehyun Lee, Minsik Lim, Grace Juyun Kim, Dong Yoon Kang and Ju-Young Shin, "Association between sacubitril/valsartan and risk of dementia in patients with heart failure: a nationwide cohort study", European Heart Journal-Cardiovascular Pharmacotherapy, 
May 2025 (2025 JCR IF: 8.2) - Top 6% Journal  doi.org/10.1093/ehjcvp/pvaf024
​
6. Yousung Yeon, Hyo-jae Lee, Jun Seo Kim, Doyeon An, Jeong Hoon Lee and Suehyun Lee, "BR-Mix3DNet: Predicting Breast Neoadjuvant Chemotherapy Response with a Hybrid MLP-Mixer and 3D CNN Model", IEEE Access, June 2025 
(2025 JCR IF: 4.2)  (Corresponding author)  doi.org/10.1109/ACCESS.2025.3578669

7. NaYoung Park, Kyungmin Na, Woongsang Sunwoo, Jeong-Heum Baek, Youngho Lee, Suehyun Lee and Hyekyung Woo, "Process for Quality Management of Electronic Medical Records-Based Data: Case Study Using Real Colorectal Cancer Data", JMIR Medical Informatics, vol 13, November 2025 (2025 JCR IF: 5.0) doi.org/10.2196/73884 ​
​
[SCOPUS]
​
1. Junseo Kim, Seok Jun Kim, Junseok Ahn and Suehyun Lee, "LLM-Based Response Generation for Korean Adolescents: A Study Using the NAVER Knowledge iN Q&A Dataset with RAG", Healthcare Informatics Research, vol 31, issue 2, pp. 136-145, April 2025  (Corresponding author)  doi.org/10.4258/hir.2025.31.2.136

2. Jiyoung Kim, Jung Jin Lee and Suehyun Lee, "Development of an Application for Communication between Rehabilitation Patients and Physicians Based on the Shared Decision-Making Model", Healthcare Informatics Research, vol 31, issue 4, pp. 426-433, October 2025 (Corresponding author) doi.org/10.4258/hir.2025.31.4.426
​
​
[KCI]
​
1. 양태석, 임민식, 안도연, 김석준, 이수현, "임상 데이터셋의 다중 모달 생리 신호와 리샘플링 기법을 활용한 기계 학습 기반 통증 강도 평가", 멀티미디어학회논문지(Journal of Korea Multimedia Society), vol 28, no 8, pp. 992-1000, August 2025. (Corresponding author)

2. 주제현, 김석준, 이수현, "메타인지 기반 의료 데이터에서의 LLM 응답 커버리지 확장 기법 연구", 멀티미디어학회논문지(Journal of Korea Multimedia Society), vol 28, no 8, pp. 1040-1048, August 2025. (Corresponding author)

2 0 2 4
[SCIE]
​
1. Mihye Kwon, Chung-Il Joung, Hyunah Shin, Chung Chun Lee, Young Soo Song, Yung Jin Lee, Seonghui Kang, Jong-Yeup Kim and Suehyun Lee, "Detection of novel drug-adverse drug reaction signals in rheumatoid arthritis and ankylosing spondylitis: analysis of Korean real-world biologics registry data", Scientific Reports, vol 14, issue 1, 2024 (2024 JCR IF: 3.9)  (Corresponding author)  https://doi.org/10.1038/s41598-024-52822-w

2. Suncheol Heo, Eun-Ae Kang, Jae Yong Yu, Hae Reong Kim, Suehyun Lee, Kwangsoo Kim, Yul Hwangbo, Rae Woong Park, Hyunah Shin, Kyeongmin Ryu, Chungsoo Kim, Hyojung Jung, Yebin Chegal, Jae-Hyun Lee and Yu Rang Park, "Time Series AI Model for Acute Kidney Injury Detection Based on a Multicenter Distributed Research Network: Development and Verification Study", JMIR Medical Informatics, vol 12, pp. e47693, July 2024 (2024 JCR IF: 3.8)  doi.org/10.2196/47693

3. Grace Juyun Kim, Ji Sung Lee, Sujung Jang, Seonghui Lee, Seongwoo Jeon, Suehyun Lee, Ju Han Kim and Kye Hwa Lee, "Polypharmacy and Elevated Risk of Severe Adverse Events in Older Adults Based on the Korea Institute of Drug Safety and Risk Management-Korea Adverse Event Reporting System Database", Journal of Korean Medical Science, vol 39, issue 28, pp. 1-18, July 2024 (2024 JCR IF: 2.3)  doi.org/10.3346/jkms.2024.39.e205

4. Khongorzul Dashdondov, Suehyun Lee and Munkh-Uchral Erdenebat, "Enhancing Diabetes Prediction and Prevention through Mahalanobis Distance and Machine Learning Integration", Applied Sciences-Basel, vol 14, issue 17, pp. 7480, August 2024 (2024 JCR IF: 2.5)  (Corresponding author)  doi.org/10.3390/app14177480

5. Chung-Chun Lee, Seunghee Lee, Mi-Hwa Song, Jong-Yeup Kim and Suehyun Lee, "Bidirectional Long Short-Term Memory–Based Detection of Adverse Drug Reaction Posts Using Korean Social Networking Services Data: Deep Learning Approaches", JMIR Medical Informatics, vol 12, pp. e45289, November 2024 (2024 JCR IF: 3.8)  (Corresponding author)  doi.org/10.2196/45289

6. Gyun-Ho Roh, Seunghee Lee, Jong-Yeup Kim and Suehyun Lee, "SNSMiner_VAC: Analyzing vaccination based on social network service data for safety surveillance", Expert Systems With Applications, vol 255, Part B, December 2024 
(2024 JCR IF: 7.5) - top 7% Journal  (Corresponding author)  doi.org/10.1016/j.eswa.2024.124684
​
​
[SCOPUS]
​
1. Jisan Lee, Suehyun Lee, Seo Yeon Baik, Taehoon Ko, Kwangmo Yang and Younghee Lee, "Review of the 2024 Spring Conference of the Korean Society of Medical Informatics – Omnibus Omnia", Healthcare Informatics Research, vol 30, issue 3, pp. 169-171, July 2024  doi.org/10.4258/hir.2024.30.3.169
​
​
[KCI]
​
---KCI 등재후보---
1. 박민정, 안미선, 이수현, "TabNet 모델 기반 정형 데이터를 활용한 유방암 예측  Breast Cancer Prediction using Tabular Data based on TabNet Model", 인공지능융합기술연구(Journal of artificial intelligence convergence technology), vol 4, issue 1, pp. 1-6, March 2024  (Corresponding author)
​
2 0 2 3
[SCIE]

1. Ae Ra Han, Suehyun Lee, Jaehun Cha, Jong-Yeop Kim, Dong-Kyu Kim, Jae Won Han, Chul Jung Kim and Sung Ki Lee, "Genital tract infection and pelvic surgery contribute to the development of endometriosis", Journal of Reproductive Immunology, vol 156, February 2023 (2023 JCR IF: 2.9)  doi.org/10.1016/j.jri.2023.103831

2. Seunghee Lee, Hyekyung Woo, Chung Chun Lee, Gyeongmin Kim, Jong-Yeup Kim and Suehyun Lee, "Drug_SNSMiner: standard pharmacovigilance pipeline for detection of adverse drug reaction using SNS data", Scientific Reports, vol 13, issue 1, p. 3779, March 2023 (2023 JCR IF: 3.8)  (Corresponding author)  doi.org/10.1038/s41598-023-28912-6

3. Suehyun Lee, Hyunah Kim, Hyeon Woo Yim, Hun-Sung Kim and Ju Han Kim, "Comparison of cardiocerebrovascular disease incidence between angiotensin converting enzyme inhibitor and angiotensin receptor blocker users in a real-world cohort.", Journal of Applied Biomedicine, vol 21, issue 1, pp. 7-14, 2023 (2023 JCR IF: 2.0)  (1st author) 
doi.org/10.32725/jab.2023.002

4. Seunghee Lee, Seonyoung Kim, Jieun Lee, Jong-Yeop Kim, Mi-Hwa Song and Suehyun Lee, "Explainable Artificial Intelligence for Patient Safety: A Review of Application in Pharmacovigilance", IEEE Access, vol 11, pp. 50830-50840, 2023 (2023 JCR IF: 3.4)  (Corresponding author)  doi.org/10.1109/ACCESS.2023.3271635
​
5. Seon Choe, Suehyun Lee, Chan Hee Park, Jeong Hoon Lee, Hyo Jung Kim, Sun-ju Byeon, Jeong-Hee Choi, Hyeon-Jong Yang, Da Woon Sim, Bum-Joo Cho, Hoseok Koo, Min-Gyu Kang, Ji Bong Jeong, In Young Choi, Sae-Hoon Kim, Woo Jin Kim, Jae-Woo Jung, Sang-Hoon Lhee, Young-Jin Ko, Hye-Kyung Park, Dong Yoon Kang and Ju Han Kim, "Development and Application of an Active Pharmacovigilance Framework Based on Electronic Healthcare Records from Multiple Centers in Korea: Establishing an Active Pharmacovigilance System in Korea", Drug Safety, vol 46, issue 7, pp. 647-660, July 2023 (2023 JCR IF: 4.0)  (1st author)  doi.org/10.1007/s40264-023-01296-2
​
6. Suehyun Lee, Hyunah Shin, Seon Choe, Min-Gyu Kang, Sae-Hoon Kim, Dong Yoon Kang and Ju Han Kim, "MetaLAB-HOI: Template standardization of health outcomes enable massive and accurate detection of adverse drug reactions from electronic health records.", Pharmacoepidemiology and Drug Safety, vol 33, issue 1, pp. e5694, September 2023 (2023 JCR IF: 2.4)  (1st author)  doi.org/10.1002/pds.5694
​
7. Seunghee Lee, Gyun-Ho Roh, Jong-Yeup Kim, Young Ho Lee, Hyekyung Woo and Suehyun Lee, "Effective data quality management for electronic medical record data using SMART DATA", International Journal of Medical Informatics, vol 180, December 2023 (2023 JCR IF: 3.7)  (Corresponding author)  doi.org/10.1016/j.ijmedinf.2023.105262

8. Jong-Yeup Kim, Gayrat Tangriberganov, Woochul Jung, Dae Sung Kim, Hoon Sup Koo and Suehyun Lee, "An Effective Representation Learning Approach: The Integrated Self-Supervised Pre-Training Models of StyleGAN2-ADA and DINO for Colon Polyp Images", IEEE Access, vol 11, pp. 143628-143634, 2023 (2023 JCR IF: 3.4)  (Corresponding author)  doi.org/10.1109/ACCESS.2023.3342838

​
[SCOPUS]

1. Suncheol Heo, Jae Yong Yu, Eun Ae Kang, Hyunah Shin, Kyeongmin Ryu, Chungsoo Kim, Yebin Chegal, Hyojung Jung, Suehyun Lee, Rae Woong Park, Kwangsoo Kim, Yul Hwangbo, Jae-Hyun Lee and Yu Rang Park, "Development and Verification of Time-Series Deep Learning for Drug-Induced Liver Injury Detection in Patients Taking Angiotensin II Receptor Blockers: A Multicenter Distributed Research Network Approach", Healthcare Informatics Research, vol 29, issue 3, pp. 246-255, July 2023  doi.org/10.4258/hir.2023.29.3.246


[KCI]

1. 이원균, 이승희, 김종엽, 이수현, "소셜 네트워크 서비스의 데이터를 활용한 약물재창출 단서 추출 파이프라인 연구 A Study on Drug Repositioning Clue Extraction Pipeline Based on Network Analysis in Social Network Services", 보건정보통계학회지(Journal of Health Informatics and Statistics), vol 48, issue 2, pp. 102-107, May 2023  (Corresponding author)  kiss.kstudy.com/Detail/Ar?key=4023120

2 0 2 2
[SCIE]

1. Suehyun Lee, Seongwoo Jeon and Hun-Sung Kim, "A Study on Methodologies of Drug Repositioning Using Biomedical Big Data: A Focus on Diabetes Mellitus", Endocrinology and Metabolism, vol 37, issue 2, pp. 195-207, April 2022 
(2022 JCR IF: 3.4)  (1st author)  doi.org/10.3803/EnM.2022.1404
​​
2. Hae Reong Kim, MinDong Sung, Ji Ae Park, Kyeongseob Jeong, Ho Heon Kim, Suehyun Lee and Yu Rang Park, "Analyzing adverse drug reaction using statistical and machine learning methods A systematic review", MEDICINE, vol 101, issue 25, p. 14, June 2022 (2022 JCR IF: 1.6)  doi.org/10.1097/MD.0000000000029387
​​
3. Suehyun Lee, Jeong Hoon Lee, Grace Juyun Kim, Jong-Yeup Kim, Hyunah Shin, Inseok Ko, Seon Choe and Ju Han Kim, "A Data-Driven Reference Standard for Adverse Drug Reaction (RS-ADR) Signal Assessment: Development and Validation.", Journal of Medical Internet Research, vol 24, issue 10, pp. e35464, October 2022 (2022 JCR IF: 7.4) - Top 3% Journal  
​(1st author)  doi.org/10.2196/35464
​
4. Doyeon An, Jihye Choi, Jaebin Lee, Jong-Yeup Kim, Seonguk Kwon, Jungeun Kim, Seunghee Lee, Seongwoo Jeon, Chungchun Lee, Suehyun Lee and Hyekyung Woo, "Time to surgery and survival in breast cancer", BMC Surgery, vol 22, issue 1, pp. 1-8, 2022 (2022 JCR IF: 1.9)  (Corresponding author)  doi.org/10.1186/s12893-022-01835-1
​
​
[SCOPUS]
​
1. Seongbin Lee, Seunghee Lee, Duhyeuk Chang, Mi-hwa Song, Jong-yeup Kim and Suehyun Lee, "Explainable Machine Learning Based a Packed Red Blood Cell Transfusion Prediction and Evaluation for Major Internal Medical Condition", Journal of Information Processing Systems, vol 18, issue 3, pp. 392-400, June 2022  (Corresponding author)  doi.org/10.3745/JIPS.04.0243
​
​
[KCI]
​
1. 양희수, 권성욱, 이승희, 이수현, 김종엽, "CEA 및 CA15-3 혈청 수준 기반 유방암 예후 예측 모델 개발 연구 Development of Breast Cancer Prognosis Prediction Model Based on Clinical Features Including CEA and CA15-3 Serum Levels", 보건정보통계학회지(Journal of Health Informatics and Statistics), vol 47, issue 1, pp. 35-47, February 2022  (Corresponding author)  doi.org/10.21032/jhis.2022.47.1.35
​
2. 유제형, 이승희, 김종엽, 손지웅, 구관우, 이수현, "합성 데이터를 활용한 폐암 환자의 생존분석 가능성 검정 A Study on the Availability of Survival Analysis of Lung Cancer Patients Using Synthetic Data", 보건정보통계학회지(Journal of Health Informatics and Statistics), vol 47, issue 4, pp. 279-289, November 2022  (Corresponding author)  doi.org/10.21032/jhis.2022.47.4.279

3. 신현아, 박성현, 이수현, "시판 후 약물감시를 위한 자료원별 약물 부작용 분석 방법 및 연구 동향 Adverse Drug Reaction Analysis Methods and Research Trends by Data Sources for Post-marketing Surveillance", 보건정보통계학회지(Journal of Health Informatics and Statistics), vol 47, issue S3, pp. 41-50, November 2022  (Corresponding author)  doi.org/10.21032/jhis.2022.47.S3.S41
​
2 0 2 1
[SCIE]

1. Hyunah Shin, Jaehun Cha, Chungchun Lee, Hyejin Song, Hyuntae Jeong, Jong-Yeup Kim and Suehyun Lee, "The 2011-2020 Trends of Data-Driven Approaches in Medical Informatics for Active Pharmacovigilance", Applied Sciences-Basel, vol 11, issue 5, p. 2249, March 2021 (2021 JCR IF: 2.838)  (Corresponding author)  doi.org/10.3390/app11052249

2. Hyunah Shin and Suehyun Lee, "An OMOP-CDM based pharmacovigilance data-processing pipeline (PDP) providing active surveillance for ADR signal detection from real-world data sources", BMC Medical Informatics and Decision Making, vol 21, issue 1, pp. 1-11, May 2021 (2021 JCR IF: 3.298)  (Corresponding author)  doi.org/10.1186/s12911-021-01520-y

3. Hyeong-Joon Kim, Hye Hyeon Kim, Hosuk Ku, Kyung Don Yoo, Suehyun Lee, Ji In Park, Hyo Jin Kim, Kyeongmin Kim, Moon Kyung Chung, Kye Hwa Lee and Ju Han Kim, "Smart decentralization of personal health records with physician apps and helper agents on blockchain: Platform design and implementation study", JMIR Medical Informatics, vol 9, issue 6, June 2021 (2021 JCR IF: 3.228)  doi.org/10.2196/26230
​​​​​
4. Suehyun Lee, Jaehun Cha, Jong-Yeup Kim, Gil Myeong Son and Dong-Kyu Kim, "Detection of unknown ototoxic adverse drug reactions: an electronic healthcare record-based longitudinal nationwide cohort analysis.", Scientific Reports. vol 11, issue 1, pp. 1-8, July 2021 (2021 JCR IF: 4.997)  (1st author)  doi.org/10.1038/s41598-021-93522-z
​
5. Hyunah Shin, Jaehun Cha, Youngho Lee, Jong-Yeup Kim and Suehyun Lee, "Real-world data-based adverse drug reactions detection from the Korea Adverse Event Reporting System databases with electronic health records-based detection algorithm", Health Informatics Journal, vol 27, issue 3, July 2021 (2021 JCR IF: 2.934)  (Corresponding author)  doi.org/10.1177/14604582211033014
​
6. SunMoon Kim, Suehyun Lee, JeeYoung Hong, Inseok Ko, Jong-Yeup Kim and Dong-Kyu Kim, "Effect of ranitidine intake on the risk of gastric cancer development", Healthcare (Switzerland), vol 9, issue 8, August 2021 (2021 JCR IF: 3.160)  

7. Hyuna Shin, Nanyeong Kim, Jaehun Cha, Grace Juyun Kim, Ju Han Kim, Jong-Yeup Kim and Suehyun Lee, "Geriatrics on beers criteria medications at risk of adverse drug events using real-world data", International Journal of Medical Informatics, vol 154, October 2021 (2021 JCR IF: 4.730)  (Corresponding author)  doi.org/10.1016/j.ijmedinf.2021.104542

8. Jong-Yeup Kim, Suehyun Lee, Jaehun Cha, Gilmyeong Son and Dong-Kyu Kim, "Chronic kidney disease is associated with increased risk of sudden sensorineural hearing loss and Ménière's disease: a nationwide cohort study.", Scientific Reports, vol 11, issue 1, pp. 1-9, October 2021 (2021 JCR IF: 4.997)  (1st author)  doi.org/10.1038/s41598-021-99792-x

9. Juyoung Shin, Hyunah Kim, Hyeon Woo Yim, Ju Han Kim, Suehyun Lee and Hun-Sung Kim, "Angiotensin‐converting enzyme inhibitors versus angiotensin receptor blockers: New‐onset diabetes mellitus stratified by statin use.", Journal of Clinical Pharmacy & Therapeutics, vol 47, issue 1, pp. 97-103, October 2021 (2021 JCR IF: 2.145)  doi.org/10.1111/jcpt.13544

10. Seunghee Lee, Jeongwon Shin, Hyeon Seong Kim, Min Je Lee, Jung Min Yoon, Sohee Lee, Yongsuk Kim, Jong-Yeup Kim and Suehyun Lee, "Hybrid Method Incorporating a Rule-Based Approach and Deep Learning for Prescription Error Prediction", Drug Safety, vol 45, issue 1, pp. 27-35, November 2021 (2021 JCR IF: 5.228)  (Corresponding author)  doi.org/10.1007/s40264-021-01123-6

11. Sumin Son, Hong Geun An, Joong Su Park, Seung Ho Kim, Seung Min In, Jong-Yeup Kim, Suehyun Lee, Jaehun Cha, Jong Wook Lee and Ki-Il Lee, "Delta neutrophil index levels can be a good indicator to predict patients with chronic rhinosinusitis who need surgery", Ear, Nose and Throat Journal, vol 103, issue 6, November 2021 (2021 JCR IF: 1.677)  doi.org/10.1177/01455613211058491

12. Sooin Choi, Soo Jeong Choi, Jin Kuk Kim, Ki Chang Nam, Suehyun Lee, Ju Han Kim and You Kyoung Lee, "Preliminary feasibility assessment of CDM-based active surveillance using current status of medical device data in medical records and OMOP-CDM.", Scientific Reports, vol 11 issue 1, pp. 1-13, December 2021 (2021 JCR IF: 4.997)  doi.org/10.1038/s41598-021-03332-6
​
​
[SCOPUS]
​
1. Suehyun Lee and Hun-Sung Kim, "Prospect of Artificial Intelligence Based on Electronic Medical Records", Journal of Lipid and Atherosclrosis, vol 10, no 3, pp. 282-290, September 2021  (1st author)  doi.org/10.12997/jla.2021.10.3.282
​​​​​
​
​[KCI]
​
1. 이상민, 이수현, 김종엽, "Patient Drug Database: 환자 생성 건강 데이터를 활용한 환자 주도적 약물 부작용 탐색을 위한 데이터베이스 구축 Patient Drug Database: Construction of Database for Patient Leading Drug Side Effects Exploration Using Patient Generated Health Data", 보건정보통계학회지(Journal of Health Informatics and Statistics), vol 46, issue 3, pp. 315-325, August 2021  (Corresponding author)  doi.org/10.21032/jhis.2021.46.3.315
​
2 0 2 0
[SCIE]
​
1. Hyery Kim, Seungwon You, Yoomi Park, Jung Yoon Choi, Youngeun Ma, Kyung Tak Hong, Kyung-Nam Koh, Sunmin Yun, Kye Hwa Lee, Hee Young Shin, Suehyun Lee, Keon Hee Yoo, Ho Joon Im, Hyoung Jin Kang and Ju Han Kim, "Interplay between IL6 and CRIM1 in thiopurine intolerance due to hematological toxicity in leukemic patients with wild-type NUDT15 and TPMT", Scientific Reports, vol 11, issue 1, pp. 1-13, May 2021 (2021 JCR IF: 4.997)  doi.org/10.1038/s41598-021-88963-5
​​
2. Hye Hyeon Kim, Yu Rang Park, Suehyun Lee and Ju Han Kim, "Composite CDE: modeling composite relationships between common data elements for representing complex clinical data", BMC Medical Informatics and Decision Making, vol 20, issue 1, pp. 1-18, July 2020 (2020 JCR IF: 2.796)  doi.org/10.1186/s12911-020-01168-0

3. Jeongmin Lee, Suehyun Lee, Hyunah Kim, Seung-Hwan Lee, Jae Hyoung Cho, Hyunyong Lee, Hyeon Woo Yim, Kun-Ho Yoon, Hun-Sung Kim and Ju Han Kim, "Low‐density lipoprotein cholesterol reduction and target achievement after switching from statin monotherapy to statin/ezetimibe combination therapy: Real‐world evidence.", Journal of Clinical Pharmacy & Therapeutics, vol 46, issue 1, pp. 134-142, October 2020 (2020 JCR IF: 2.512)  doi.org/10.1111/jcpt.13271

4. Sanghoon Oh, Tae Young Lee, Minah Kim, Se Hyun Kim, Suehyun Lee, Sunwoo Cho, Ju Han Kim and Jun Soo Kwon, "Effectiveness of antipsychotic drugs in schizophrenia: a 10-year retrospective study in a Korean tertiary hospital", npj Schizophrenia, vol 6, issue 1, November 2020 (2020 JCR IF: 5.200)  doi.org/10.1038/s41537-020-00122-3
​​
5. Seung Mi Lee, Yoomi Park, Young Ju Kim, Han-Sung Hwang, Heewon Seo, Byung-Joo Min, Kye Hwa Lee, So Yeon Kim, Young Mi Jung, Suehyun Lee, Chan-Wook Park, Ju Han Kim and Joong Shin Park, "Identifying genetic variants associated with ritodrine-induced pulmonary edema.", PLoS ONE, vol 15, issue 11, pp. 1-11, November 2020 (2020 JCR IF: 3.240)   doi.org/10.1371/journal.pone.0241215
​
6. Hun-Sung Kim, Hyunah Kim, Suehyun Lee and Ju Han Kim, "Comparative analysis of the efficacy of angiotensin II receptor blockers for uric acid level change in asymptomatic hyperuricaemia.", Journal of Clinical Pharmacy & Therapeutics, vol 45, issue 6, pp. 1264-1270, December 2020 (2020 JCR IF: 2.512)  doi.org/10.1111/jcpt.13202
​
​​
~ 2 0 1 9
[SCIE]
​
1. Suehyun Lee, Jongsoo Han, Rae Woong Park, Grace Juyun Kim, John Hoon Rim, Jooyoung Cho, Kye Hwa Lee, Jisan Lee, Sujeong Kim and Ju Han Kim, "Development of a Controlled Vocabulary-Based Adverse Drug Reaction Signal Dictionary for Multicenter Electronic Health Record-Based Pharmacovigilance", Drug Safety, vol 42, issue 5, pp. 657-670, May 2019 (2019 JCR IF: 3.442)  (1st author)  doi.org/10.1007/s40264-018-0767-7
​​
2. Sehoon Park, Hyunjeong Cho, Seokwoo Park, Soojin Lee, Kwangsoo Kim, Hyung Jin Yoon, Jiwon Park, Yunhee Choi, Suehyun Lee, Ju Han Kim, Sejoong Kim, Ho Jun Chin, Dong Ki Kim, Kwon Wook Joo, Yon Su Kim and Hajeong Lee, "Simple Postoperative AKI risk (SPARK) classification before noncardiac surgery: A prediction index development study with external validation", Journal of the American Society of Nephrology, vol 30, issue 1, pp. 170-181, January 2019 
(2019 JCR IF: 9.274) - Top 6% Journal  doi.org/10.1681/ASN.2018070757
​​
3. Hun-Sung Kim, Suehyun Lee and Ju Han Kim, "Real-world Evidence versus Randomized Controlled Trial: Clinical Research Based on Electronic Medical Records", Journal of Korean Medical Science, vol 33, issue 34, pp. 1-7, August 2018 (2018 JCR IF: 1.716)  doi.org/10.3346/jkms.2018.33.e213
​​
4. Suehyun Lee, Jiyeob Choi, Hun-Sung Kim, Grace Juyun Kim, Kye Hwa Lee, Chan Hee Park, Jongsoo Han, Dukyong Yoon, Man Young Park, Rae Woong Park, Hye-Ryun Kang and Ju Han Kim, "Standard-based comprehensive detection of adverse drug reaction signals from nursing statements and laboratory results in electronic health records.", Journal of the American Medical Informatics Association, vol 24, issue 4, pp. 697-708, July 2017 (2017 JCR IF: 4.270) - Top 6% Journal  doi.org/10.1093/jamia/ocw168
​​
5. Hun-Sung Kim, Hyeseon Lee, Suehyun Lee, Yoo Jin Jeong, Tong Min Kim, So Jung Yang, Sun Jung Baik, Hyunah Kim, Seung-Hwan Lee, Jae Hyoung Cho, In-Young Choi, Kun-Ho Yoon and Ju Han Kim, "Use of Moderate-Intensity Statins for Low-Density Lipoprotein Cholesterol Level above 190 mg/dL at Baseline in Koreans.", Basic & Clinical Pharmacology & Toxicology, vol 121, issue 4, pp. 272-278, October 2017 (2017 JCR IF: 2.659)  doi.org/10.1111/bcpt.12765
​​
6. Hun-Sung Kim, Suehyun Lee, Hyunah Kim, Seung-Hwan Lee, Jae Hyoung Cho, H Lee, Hyeon Woo Yim, S-H Kim, In-Young Choi, Kun-Ho Yoon and Ju Han Kim, "Statin-related aminotransferase elevation according to baseline aminotransferases level in real practice in Korea.", Journal of Clinical Pharmacy & Therapeutics, vol 41, issue 3, pp. 266-272, June 2016 
(2016 JCR IF: 1.679)  doi.org/10.1111/jcpt.12377
​​
7. Hye Kyung Han, Hyungmi An, Kwang-Hee Shin, Donghoon Shin, Suehyun Lee, Ju Han Kim, Sang-Heon Cho, Hye-Ryun Kang, In-Jin Jang, Kyung-Sang Yu and Kyoung Soo Lim, "Trough concentration over 12.1 mg/l is a major risk factor of vancomycin-related nephrotoxicity in patients with therapeutic drug monitoring", Therapeutic Drug Monitoring, vol 36, issue 5, pp. 606-611, October 2014 (2014 JCR IF: 2.376)  doi.org/10.1097/FTD.0000000000000061
​
8. Kyoung Sup Hong, Seung Joo Kang, Jong Kyoung Choi, Ju Han Kim, Heewon Seo, Suehyun Lee, Jae-Woo Jung, Hye-Ryun Kang, Sang-Heon Cho and Joo Sung Kim, "Gastrointestinal tuberculosis is not associated with proton pump inhibitors: A retrospective cohort study", World Journal of Gastroenterology, vol 19, issue 2, pp. 258-264, January 2013 
(2013 JCR IF: 2.433)  doi.org/10.3748/wjg.v19.i2.258
​
​
[SCOPUS]
​
1. Hun-Sung Kim, Suehyun Lee, Tong Min Kim and Ju Han Kim, "Developing a multi-center clinical data mart of ACEI and ARB for real-world evidence (RWE)", Clinical Hypertension, vol 25, issue 1, pp. 30-36, December 2018  doi.org/10.1186/s40885-018-0103-7
​
2. Hun-Sung Kim, Hyunah Kim, Suehyun Lee, Kye Hwa Lee and Ju Han Kim, "Current Clinical Status of Telehealth in Korea: Categories, Scientific Basis, and Obstacles", Healthcare Informatics Research, vol 21, issue 4, pp. 244-250, October 2015  doi.org/10.4258/hir.2015.21.4.244


[KCI]
​
---KCI등재후보---
1. 강민규, 강동윤, 강혜련, 이수현, 김주한, "약물유해반응 관리의 새 흐름: 수동적 유해사례 수집에서 분산형 약물감시망을 이용한 대규모 능동적 검색으로의 전환 New Trend of Pharmacovigilance: Transition from Passive to Active Surveillance by Using Distributed Drug Safety Monitoring System", 대한약물역학위해관리학회(Korean Society for Pharmacoepidemiology and Risk Management), vol 9, issue 1, pp. 1-10, September 2017  https://www.e-jperm.org/journal/view.html?pn=&uid=95
​
2. 이영호, 김인재, 이수현, 김종훈, 강영창, "항공 응용 : 상선승무원의 건강관리를 위한 u-health 웰빙 지수 서비스 시스템 설계 Aviation Material : U-health wellbeing index system design for health care of crew on ships", 한국항행학회논문지(The Journal of Korea Navigation Institute), vol 13, issue 4, pp. 577, August 2009
​
​
​
[CONFERENCE]
​
1. Kiwon Kang, Suehyun Lee and Juhan Kim, "Detection of Adverse Drug Reaction Signals form Electronic Medical Record(EMR)", Proceedings of the 2nd International Conference on Internet and 5th Asia Pacific International Conference on Information Science and Technology, pp. 161-163, 2010
​
2. Suehyun Lee, In-Sung Jun, Jae-Kwon Kim, Jee-Song Park, Si-Ra Kim, Un-Gu Kang and Young-Ho Lee, "BPM-based Process Management System for Quick Response in Emergency Room", Proceedings of the Korean Society of Computer Information Conference, pp. 107-111, 2009  (1st author)  https://koreascience.kr/article/CFKO200928451820267.page
​
3. Eun-Sil Yoon, Dong-Kyun Park, Eun- Young Jeong, In-Sung Jeong, Suehyun Lee and Young-Ho Lee, "Design of an APACHE-based Ⅰ-CDSS for Predicting the Degree of Severity of Emergence Patients", The Korean Society for internet information, pp. 247-252, 2009
​
​​​

Oral Presentation 

2 0 2 6
  1. Confidence-Aware Prompting을 활용한 LLM 기반 위암 수술 예후 분류 (2026 대한의료정보학회 춘계학술대회, 2026-6-25)
  2. ​GENE-QC: 임상 데이터 생애주기 품질 관리 프레임워크 기반 멀티 오믹스 데이터 품질관리 도구 개발 (2026 대한의료정보학회 춘계학술대회, 2026-6-25)
  3. ECG의 형태학적 정보 표현 방식에 따른 ECG-Text 교차 모달 정렬 성능 분석 (2026 대한의료정보학회 춘계학술대회, 2026-6-25)
  4. 한국어 임상 데이터 처리를 위한 Domain-Adaptive Pretraining과 From-Scratch Pretraining 기반 BERT 모델의 성능 비교 (2026 대한의료정보학회 춘계학술대회, 2026-6-25)
  5. [Poster] Arterial Blood Pressure Estimation and Evaluation using Non-invasive Phoroplethysmography(PPG) Signals (2026 대한의료정보학회 춘계학술대회, 2026-6-25)
  6. [Poster] 저선량 CT 디노이징 기법에 따른 영상 품질 및 AI 분류 성능 비교 (2026 대한의료정보학회 춘계학술대회, 2026-6-25)
  7. [Poster] 실세계 데이터(RWD) 기반 약물 이상반응의 중증도 예측 머신러닝 개발 연구 (2026 대한의료정보학회 춘계학술대회, 2026-6-26)
  8. [Poster] APOE4 유전형에 따른 인지 저하 속도의 이질성 분석 (2026 대한의료정보학회 춘계학술대회, 2026-6-26)
  9. [Poster] 1D-CNN 기반 다채널 IMU 센서 데이터의 잠재 특징 추출을 통한 뇌졸중 보행 패턴 분류 연구 (2026 대한의료정보학회 춘계학술대회, 2026-6-26) 
  10. [Poster] 면역점수 기반 전사체 분석을 통한 폐선암 면역항암제 반응 예측 바이오마커 발굴 (2026 대한의료정보학회 춘계학술대회, 2026-6-26) 
  11. [Poster] 멀티모달 정렬을 통한 폐암 생존 예측: RNA-seq와 병리 이미지의 대조 학습 기반 접근 (2026 대한의료정보학회 춘계학술대회, 2026-6-26) 
2 0 2 5
  1. Polysomnography Biological Signal-based Mental Health Risks Digital Markers Detection Study (2025 한국인공지능융합기술학회 춘계학술대회, 2025-5-17, 우수논문상)
  2. ​[Poster] Detection Causal Factor of Depressive Symtoms: Linear Mixed Models-based Group Regression Analysis (2025 한국인공지능융합기술학회 춘계학술대회, 2025-5-17)
  3. ​Identification of Cluster-Specific Marker Genes and Functional Signatures in Breast Cancer via Transcriptomic Profiling (2025 대한의료정보학회 춘계학술대회, 2025-6-23)
  4. ​Medical Signal Data Quality Framework: using Multi-channel Polysomnography (2025 대한의료정보학회 춘계학술대회, 2025-6-23)
  5. ​LLM-based Synthetic Interview Data Generation for Schizophrenia Patients Using Persona (2025 대한의료정보학회 춘계학술대회, 2025-6-23) (초록)
  6. [Poster] Development of a CNN-LSTM Model for Pain Stage Prediction Using Physiological Signal Data (2025 대한의료정보학회 춘계학술대회, 2025-6-23)
  7. [Poster] Analysis of emotional diary stress levels based on LLM (2025 대한의료정보학회 춘계학술대회, 2025-6-23) (초록)
  8. 페르소나 기반 LLM을 활용한 조현병 환자 인터뷰 합성데이터 생성 방법론 (2025 한국인공지능기술학회 추계학술대회, 2025-11-15, 우수논문상)
  9. 다중 에이전트 기반 LLM 교차 검증을 통한 질의응답 정확도 향상 (2025 한국인공지능융합기술학회 추계학술대회, 2025-11-15, 우수논문상)
  10. [Poster] 일상생활기반 일주기데이터를 활용한 수면의 질 예측모델링 (2025 한국인공지능융합기술학회 추계학술대회, 2025-11-15)
  11. 의료 데이터 품질 프레임워크와 품질검증 (2025 대한의료정보학회 추계학술대회, 2025-11-22)
  12. 의료 데이터 품질관리 도구 (2025 대한의료정보학회 추계학술대회, 2025-11-22)
  13. 연구인프라 활성을 통한 가천대 길병원 연구 데이터 활용 사례 (2025 대한의료정보학회 추계학술대회, 2025-11-24)
  14. 다중 생체신호 기반 심혈관계 질환 예측 모델 개발 및 바이오마커 도출 (2025 대한의료정보학회 추계학술대회, 2025-11-23)
  15. 임상 생리신호 기반 Cluster-then-Label 기법을 활용한 통증 강도 평가 (2025 대한의료정보학회 추계학술대회, 2025-11-23)
  16. [Poster] 우울증 탐지를 위한 자가보고 우울척도와 LLM 기반 감정 점수의 비교 연구 (2025 대한의료정보학회 추계학술대회, 2025-11-23)
  17. [Poster] 의료 데이터에서 LLM 응답 신뢰도 조정을 통한 선택적 예측 안정성 향상 (2025 대한의료정보학회 추계학술대회, 2025-11-23)
  18. [Poster] 딥러닝을 활용한 콜센터 직원 한국어 일기 기반 우울증 탐지 연구 (2025 대한의료정보학회 추계학술대회, 2025-11-23)
  19. [Poster] MOCHI: 적대적 NMF–Transformer 하이브리드 기반 다중오믹스 통합을 위한 품질관리(QC) (2025 대한의료정보학회 추계학술대회, 2025-11-24)
  20. [Poster] AI 병리 이미지 및 판독문 합성 데이터: 데이터 구축 및 품질검증 (2025 대한의료정보학회 추계학술대회, 2025-11-24)
  21. [Poster] 상호작용 스코어링 기반 약물 이상 반응 경로 참조 세트 (2025 대한의료정보학회 추계학술대회, 2025-11-24)
2 0 2 4
  1. Deep Learning-based Feature Analysis in Breast Cancer histopathology Whole Slide Images: Heatmap Generation and Stage Prediction Using the Lunit DINO Model (2024 대한의료정보학회 춘계학술대회, 2024-06-20)
  2. Subclassification of Breast Cancer Through Visual Analysis of Hormone Receptor Regions in Whole Slide Histopathology Images and RNA Expression Profiles (2024 대한의료정보학회 춘계학술대회, 2024-06-20)
  3. Adverse Drug Reaction Prediction Based on Word Embeddings Using BERT-based Language Models (2024 대한의료정보학회 춘계학술대회, 2024-06-20)
  4. [Poster] 알츠하이머병 중증도 분류에 대한 사전 훈련된 CNN 모델의 비교: OASIS-1 데이터셋을 활용한 Pre-trained CNN Models 성능 비교 분석 (2024 대한의료정보학회 춘계학술대회, 2024-06-20)
  5. [Poster] 무손실 압축 기반 텍스트 분류를 통한 자살 위험 데이터셋 분류 : 정신의학 데이터 적용 가능성 (2024 한국보건정보통계학회 추계학술대회, 2024-11-8)
  6. [Poster] Strategies for utilizing the Clinical & Omics Data Archive (CODA) for Omics Data Analysis (2024 한국보건정보통계학회 추계학술대회, 2024-11-8)
  7. 한국 청소년 폭력 노출 패턴과 코로나19 팬데믹 관련 위험 요인 (2024 대한의료정보학회 추계학술대회, 2024-11-21)
  8. Prognosis analysis of breast cancer patients according to TP53 gene mutation expression using multi-omics data (2024 대한의료정보학회 추계학술대회, 2024-11-21)
  9. [Poster] 소형 언어 모델을 활용한 의료 텍스트 데이터 평가 가능성 탐구 (2024 대한의료정보학회 추계학술대회, 2024-11-22)
2 0 2 3
  1. [Poster] Prediction of adverse drug reactions of anti-breast cancer drugs using machineblearning (American Association for Cancer Research, 2023-04-17)
  2. Machine Learning Method Based on Multicollinearity Analysis for Predicition of Hypertension (2023 대한의료정보학회 춘계학술대회, 2023-06-30)
  3. Stacking Ensemble Method for Meta-Model Development in Colorectal Cancer Survival Prediction (2023 대한의료정보학회 춘계학술대회, 2023-06-30)
  4.  [Poster] A Study on the Prognosis of Breast Cancer Patients Based on  Deep Learning (2023 대한의료정보학회 춘계학술대회, 2023-06-30)
  5.  [Poster] Analysis of Smoking and Surgery in Lung Cancer Patients and The Risk of Death Through BMI Index (2023 대한의료정보학회 춘계학술대회, 2023-06-30)
  6.  [Poster] Connectivity Map Analysis Approach to Drug Repositioning for Mild Cognitive Impairment  (2023 대한의료정보학회 춘계학술대회, 2023-06-30)
  7. 조건부 특징 추출 기반 융합 데이터셋 구축 방법론 개발 (2023 한국인공지능융합기술학회 하계학술대회, 2023-08-19, 우수논문상)
  8.  ADL(Adversarial Distortion Learning) 모델 기반의 의료 이미지 데이터 품질 개선 연구 (2023 한국인공지능융합기술학회 하계학술대회, 2023-08-19, 우수논문상)
  9.  의료 AI 모델을 위한 M-DQC(Medical Data Quality-Controlled) 프레임워크 구축 (2023 한국인공지능융합기술학회 하계학술대회, 2023-08-19)
  10.  [Poster] ADS-GAN : Chest X-Ray데이터를 이용한 이용한 합성의료데이터 생성 연구 (2023 한국인공지능융합기술학회 하계학술대회, 2023-08-19, 우수상)
  11.  [Poster] Application of Tabular Data to TabNet : Using WDBC (2023 한국인공지능융합기술학회 하계학술대회, 2023-08-19)
  12.  [Poster] Anonymized Index Expansion(AIE): An Improved Tabular Data for Data Analysis (2023 한국인공지능융합기술학회 하계학술대회, 2023-08-19)
2 0 2 2
  1. SAVE US: Digital Therapeutics for the Management of Drug Side Effects in Korea (2022년 한국멀티미디어학회 춘계학술발표대회, 2022-05-13, 우수논문상)
  2. A Study on the Classification Model of Bi-LSTM-Based Drug Side Effects Posts Using SNS Data (2022년 대한의료정보학회 춘계학술대회, 2022-06-24)
  3. Social Network Analysis and Sentiment Analysis Focused on ‘COVID-19 Vaccination’ (2022년 대한의료정보학회 춘계학술대회, 2022-06-24)
  4. Open Notes의 실현 사례(과거) (2022년 대한의료정보학회 춘계학술대회, 2022-06-24)
  5. Signal detection of unkown adverse drug reactions of biologic DMARDs using Real-World Data from the KOrean College of Rheumatology BIOlogics & Targeted Registry (2022년 대한의료정보학회 춘계학술대회, 2022-06-24)
  6.  REHAB NOTE: Sharing Platform based on Open Notes in Rehabilitation Patient (2022년 멀티미디어학회 국제학술대회, 2022-07-05)
  7.  인공지능 데이터 처리 및 분석 (당뇨병합병증 예측모델개발 2차 심포지엄, 2022-10-18)
  8.  Open Notes의 실현화 단계 level 2 – 지역 펀딩 활용 사례 공유 (2022년  대한의료정보학회 추계학술대회, 2022-11-23)
  9.  스마트데이터 연구회 활동 소개 (2022년 대한의료정보학회 추계학술대회, 2022-11-23)
  10. 임상 데이터 품질 향상을 위한 Clinical Critical Set 탐색 기법: 당뇨병 임상데이터에 적용 (한국정보과학회, 2022-12-21)
  11.  온라인 구어체 데이터를 이용한 편향 정제 기반 데이터 품질 개선 방법 (한국정보과학회, 2022-12-21)
  12. 리빙랩을 통한 지역사회 스마트재활 사업 촉진 방안 (세종스마트시티포럼, 2022-10-14)
  13.  스마트데이터 연구회 소개 (제1회 스마트데이터 연구회 세미나, 2022-08-26)
  14.  데이터품질향상을 위한 품질진단 방법 (제1회 스마트데이터 연구회 세미나, 2022-08-26)
  15. CDM을 이용한 의약품 부작용 실마리 정보 탐지 (가톨릭대 연구 세미나, 2022-08-26)
  16. Multi-TreeScannR: 다기관 CDM자료를 이용한 트리 기반 통계 실마리 탐지 패키지 개발 (대한약물역학위해관리학회, 2022-05-27)
  17. AI Hub 소개 및 의료인공지능학습데이터 사업 소개 
2 0 2 1
  1. Time to Surgery and Survival in Breast Cancer(2021 대한의료정보학회 춘계학술대회, 2021-07-09)
  2. Analysis of prognostic factors influencing survival and recurrence in breast cancer: A hybrid machine learning approach (Conference of Korea Artificial-Intelligence Convergence Technology Society (KAICTS 2021), 2021-08-24)
  3. Prediction of Survival Rates according to Prognostic Factors for Colorectal Cancer Using Machine Learning(한국인공지능융합기술학회 하계학술대회, 2021-08-26, 우수논문상)
  4. Evaluation of the quality of mobile apps for monitoring consumer-centered drug side effects (2021 대한의료정보학회 추계학술대회, 2021-11-05)
  5. Covid-19 vaccine : A keyword network analysis of SNS data applying text mining techniques (2021 대한의료정보학회 추계학술대회, 2021-11-05)
  6. Framework Study on the identifying treatment drug repositioning candidates   (2021 대한의료정보학회 추계학술대회, 2021-11-05)
  7. Analysis of prognostic factors influencing survival and recurrence in breast cancer: A hybrid machine learning approach (2021 대한의료정보학회 추계학술대회, 2021-11-05)
  8. Machine Learning-based pRBC Transfusion Prediction for Major Internal Medical Condition in Intensive Care Unit(ICU) (The 13th International Conference on Computer Science and its Applications (CSA 2021), 2021-12-15)
2 0 2 0
  1. 의료빅데이터를 활용한 약물감시 적용 사례 (2020년 춘계심혈관통합학술대회, 2020-07-04)
  2. 의료빅데이터를 활용한 환자 안전 및 약물 감시 (2020 대한의료정보학회 추계학술대회, 2020-11-12)
  3. SAVE US : 환자 맞춤형 모바일 약물 부작용 보고 앱 설계 (2020 대한의료정보학회 추계학술대회, 2020-11-12)
  4. EMR 데이터베이스 기반 암 빅데이터 네트워크 및 플랫폼 구축 (2020 대한의료정보학회 추계학술대회, 2020-11-12)
  5. CDM 기반 의약품 부작용 지식베이스 구축 (능동적 약물감시를 위한 공통데이터모델 심포지움, 2020-11-26)
  6. An introduction to the CDM-based drug side effect algorithm and its application results (2020 APAC OHDSI Symposium, 2020-12-05)
2 0 1 9
  1. Surveillence of Adverse Drug Reaction by Using Electronic Health Records    (Myocardial Ischemia Symposium 2019, 2019-03-08)
  2. Real world data를 활용한 의약품 정보의 분석과 해석 (대한의료정보학회 춘계학술대회, 2019-07-10)
  3. Real World Data 기반 약물 감시 모델 (대한의료정보학회 춘계학술대회, 2019-07-12)
  4. Analysis of spontaneous adverse event reports using real world EMR data for prospective pharmacovigilance (2019 ACPE, 2019-10-13)
  5. 공통데이터모델(CDM) 기반 약물감시 모델 개발 및 적용 (대한의료정보학회 추계학술대회, 2019-11-09)
  6. 국민건강보험표본코호트DB를이용한metabolic syndrome criteria 조합에 따른 치매질환군 발생에 미치는 영향  (대한의료정보학회 추계학술대회, 2019-11-09)

Patent

P a t e n t
​2020.12.10 출원 - 약물 감시 플랫폼 및 그것을 구비하는 컴퓨터의 제어방법 (대한민국, 10-2020-017199)
2020.12.10 출원 - 부비동염 진단 장치 및 방법 (대한민국, 10-2020-0171950)
2021.08.03 출원 - 약물 부작용 탐지를 위한 파이프라인 구축 방법 및 장치 (대한민국, 10-2021-0101922)
2022.07.01 출원 - 플랫폼 기반의 약물 정보 제공 시스템, 방법 및 프로그램 (대한민국, 10-2022-0081144) 
2023.09.06 등록 - 약물 부작용 탐지를 위한 파이프라인 구축 방법 및 장치 (대한민국, 10-2577105)
2026.06.16 출원 - 멀티모달 생체신호 데이터 품질을 위한 의미정확성 검증 장치 및 방법 (대한민국, 10-2026-0109940)
2026.08.12 출원 - 대규모 언어 모델을 이용한 프롬프트 평가 지표 기반의 텍스트 데이터 품질 평가 장치 및 방법 (대한민국, 10-2026-0151045)
2026.09.01 출원 - 인공지능 학습용 데이터의 품질 분석 장치 및 그 구동 방법 (대한민국, 10-2026-0165587)
P l a t f o r m   a s   a   S e r v i c e
(특허 출원 완료) Real world data 기반의 약물감시 플랫폼 서비스 운영 https://bioemr2.snubi.org:19108
(특허 출원 완료) 약물 부작용 탐지를 위한 파이프라인 구축
(특허 출원 진행) 환자 중심의 의약품 모니터링 플랫폼 서비스 개발
(특허 출원 진행) 의약품 부작용 빅데이터 지식베이스 개발