Publications

U n d e r   R e v i e w

         리뷰 중 
  1. Analysis of prognostic factors influencing survival and recurrence in breast cancer: A hybrid machine learning approach (Scientific Reports)
  2. Quality evaluation of mobile apps to develop adverse drug reactions monitoring in Korea (JMIR*)
  3. MDV CDM: Medical device vigilance common data models for active surveillance in real-world data
  4. Enhancing Diabetes Risk Prediction through an Explainable Artificial Intelligence-based Framework: A Nutrition Perspective.
  5. Association between sacubitril/valsartan and risk of dementia in patients with heart failure: a nationwide cohort study.
  6. A Process for Quality Management of EMR-Based Data: A Case Study Using Real Colorectal Cancer Data
  7. Multi-institutional drug use patterns in hospitalized elderly patients on polypharmacy based on the common data model
  8. Predicting Adverse Drug Reactions Using Word Embedding with BERT-Based Models : Comparative Study
  9. Analysis of Nottingham Grade in Multi-Omics Using Multi-Instance Learning and Prediction of Survival analysis
  10. DQA4M: The application of Data Quality Assessment Process for Medical Research based on Electronic Health Record(EHR)
  11. LLM-based Response Generation for Korean Adolescents: A Study Using NAVER Knowledge-iN Q&A Dataset with RAG
  12. National Trends in Violence Victimization and COVID-19 Pandemic-–Related related Risk Factors Among South Korean Adolescents From from 2012 to 2022


  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

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  1. BR-Mix3DNet: Predicting Breast Neoadjuvant Chemotherapy Response with a Hybrid MLP-Mixer and 3D CNN Model1.  (Corresponding author)
  2. **Challenges of Data Quality in Clinical Data Life Cycle: A Systematic Review (Corresponding author)
  3. Development of an Application for Communication Between Rehabilitation Patients and Physicians: Based on the Shared Decision Making Model (Corresponding author)
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  1. **Gyun-Ho Roh, Seunghee Lee, Jong-Yeup Kim, Suehyun Lee, SNSMiner_VAC: Analyzing vaccination based on social network service data for safety surveillance, Expert Systems with Applications, 2024, 124684, ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2024.124684. (Corresponding author)
  2. Park MJ, An DY, Lee SY. TabNet 모델 기반 정형 데이터를 활용한 유방암 예측. 인공지능융합기술연구. Vol. 4, No. 1 : 1~6 March.2024 (Corresponding author)
  3. Kim GJ, Lee JS, Jang S, Lee S, Jeon S, Lee S, Kim JH, Lee KH. 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. J Korean Med Sci. 2024 Jun;39:e205. https://doi.org/10.3346/jkms.2024.39.e205 ​
  4. Kwon, Mihye and Joung, Chung-Il and Shin, Hyunah and Lee, Sang Min and Lee, Chung Chun and Lee, Yung Jin and Kang, Seonghui and Kim, Jong-Yeup and Lee, Suehyun, Signal Detection of Unknown Adverse Drug Reactions of Biologic DMARDs Using Real-World Data from the Korean College of Rheumatology BIOlogics & Targeted Therapy Registry (KOBIO). Available at SSRN: https://ssrn.com/abstract=4040132 or http://dx.doi.org/10.2139/ssrn.4040132 (Corresponding author) 
  5. Heo S, Kang EA, Yu JY, Kim HR, Lee S, Kim K, Hwangbo Y, Park RW, Shin H, Ryu K, Kim C, Jung H, Chegal Y, Lee JH, Park YR. Time Series AI Model for Acute Kidney Injury Detection Based on a Multicenter Distributed Research Network: Development and Verification Study. JMIR Med Inform. 2024 Jul 5;12:e47693. doi: 10.2196/47693. PMID: 39039992; PMCID: PMC11263760.
  6. **Dashdondov, K.; Lee, S.; Erdenebat, M.-U. Enhancing Diabetes Prediction and Prevention through Mahalanobis Distance and Machine Learning Integration. Appl. Sci. 2024, 14, 7480. https://doi.org/10.3390/app14177480 (Corresponding author) 
  7. Lee, Chung-Chun & Lee, Seunghee & Song, Mi-Hwa & Jeong, Jong-Min & Lee, Suehyun. (2022). Bi-LSTM based detection of ADR posts using Korean SNS data (Preprint). JMIR Medical Informatics. 10.2196/45289.   (Corresponding author)
  8. **Shin, Hyunah & Ryu, Kyeonmin & Jeong, Jong-Min & Lee, Suehyun. (2022). Application of privacy protection technology to healthcare big data. 10.21203/rs.3.rs-2035438/v1  (Corresponding author)
  9. Lee J, Lee S, Baik SY, Ko T, Yang K, Lee Y. Review of the 2024 Spring Conference of the Korean Society of Medical Informatics - Omnibus Omnia. Healthc Inform Res. 2024 Jul;30(3):169-171. doi: 10.4258/hir.2024.30.3.169. Epub 2024 Jul 31. PMID: 39160776; PMCID: PMC11333812. (Corresponding author)
2 0 2 3
  1. 이원균, 이승희, 김종엽 and 이수현. (2023). A Study on Drug Repositioning Clue Extraction Pipeline Based on Network Analysis in Social Network Services. 보건정보통계학회지, 48(2), 102-107. (Corresponding author)
  2. **Lee S, Woo H, Lee CC, Kim G, Kim JY, Lee S. Drug_SNSMiner: standard pharmacovigilance pipeline for detection of adverse drug reaction using SNS data. Sci Rep. 2023 Mar 7;13(1):3779. doi: 10.1038/s41598-023-28912-6. PMID: 36882478; PMCID: PMC9992476. (Corresponding author) 
  3. Han AR, Lee S, Cha J, Kim JY, Kim DK, Han JW, Kim CJ, Lee SK. Genital tract infection and pelvic surgery contribute to the development of endometriosis. J Reprod Immunol. 2023 Feb 12;156:103831. doi: 10.1016/j.jri.2023.103831. Epub ahead of print. PMID: 36841045. (Corresponding author) 
  4. Lee S, Kim H, Woo Yim H, Hun-Sung K, Han Kim J. Comparison of cardiocerebrovascular disease incidence between angiotensin converting enzyme inhibitor and angiotensin receptor blocker users in a real-world cohort. J Appl Biomed. 2023;21(1):7-14. doi: 10.32725/jab.2023.002. (1st author)
  5. **Choe S, Lee S, Park CH, Lee JH, Kim HJ, Byeon SJ, Choi JH, Yang HJ, Sim DW, Cho BJ, Koo H, Kang MG, Jeong JB, Choi IY, Kim SH, Kim WJ, Jung JW, Lhee SH, Ko YJ, Park HK, Kang DY, Kim JH. Development and Application of an Active Pharmacovigilance Framework Based on Electronic Healthcare Records from Multiple Centers in Korea. Drug Saf. 2023 Jul;46(7):647-660. doi: 10.1007/s40264-023-01296-2. Epub 2023 May 27. PMID: 37243963. (1st author) 
  6. S. Lee, S. Kim, J. Lee, J. -Y. Kim, M. -H. Song and S. Lee, "Explainable Artificial Intelligence for Patient Safety: A Review of Application in Pharmacovigilance," in IEEE Access, vol. 11, pp. 50830-50840, 2023, doi:10.1109/ACCESS.2023.3271635.  (Corresponding author) 
  7. Heo S, Yu JY, Kang EA, Shin H, Ryu K, Kim C, Chegal Y, Jung H, Lee S, Park RW, Kim K, Hwangbo Y, Lee JH, Park YR. 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. Healthc Inform Res. 2023 Jul;29(3):246-255. doi: 10.4258/hir.2023.29.3.246. Epub 2023 Jul 31. Erratum in: Healthc Inform Res. 2024 Apr;30(2):168. doi: 10.4258/hir.2024.30.2.168. PMID: 37591680; PMCID: PMC10440200. (Corresponding author)
  8. **Lee S, Shin H, Choe S, Kang MG, Kim SH, Kang DY, Kim JH. MetaLAB-HOI: Template standardization of health outcomes enable massive and accurate detection of adverse drug reactions from electronic health records. Pharmacoepidemiol Drug Saf. 2024 Jan;33(1):e5694. doi: 10.1002/pds.5694. Epub 2023 Sep 14. PMID: 37710363.  (1st author)
  9. **Seunghee Lee, Hyun-Ho Roh, Hong-Yeop Kim, Young Ho Lee, Hyekyung Woo, Suehyun Lee . Effective data quality management for electronic medical record data using SMART DATA. International Journal of Medical Informatics. 2023. https://doi.org/10.1016/j.ijmedinf.2023.105262. (Corresponding author) 
  10. J. -Y. Kim et al., "An Effective Representation Learning Approach: The Integrated Self-Supervised Pre-Training Models of StyleGAN2-ADA and DINO for Colon Polyp Images," in IEEE Access, vol. 11, pp. 143628-143634, 2023, doi: 10.1109/ACCESS.2023.3342838 (Corresponding author)
2 0 2 2 

  1. D., Choi, J., Lee, J. et al. Time to surgery and survival in breast cancer. BMC Surg 22, 388 (2022). https://doi.org/10.1186/s12893-022-01835-1 (Corresponding author)  
  2. Je-Hyeong Yu, Seunghee Lee, Jong-Yeup Kim, Ji-Woong Son, Gwan-Woo Ku, Suehyun Lee. A Study on the Availability of Survival Analysis of Lung Cancer Patients Using Synthetic Data. J Health Info Stat. 2022;47 (4): 279-289. Publication Date (Web): 2022 November 30. doi:https://doi.org/10.21032/jhis.2022.47.4.279  (Corresponding author)  
  3. Lee S, Jeon S, Kim HS. A Study on Methodologies of Drug Repositioning Using Biomedical Big Data: A Focus on Diabetes Mellitus. Endocrinol Metab (Seoul). 2022 Apr;37(2):195-207. doi: 10.3803/EnM.2022.1404. Epub 2022 Apr 13. PMID: 35413782; PMCID: PMC9081315. (1st author)
  4. Hee Soo Yang, Seonguk Kwon, Seunghee Lee, Suehyun Lee, Jong-Yeup Kim Development of Breast Cancer Prognosis Prediction Model Based on Clinical Features Including CEA and CA15-3 Serum Levels J Health Info Stat 2022;47(1):35-47 • https://doi.org/10.21032/jhis.2022.47.1.35 (Corresponding author) 
  5. Seongbin Lee, Lee， Seunghee, Duhyeuk Chang, SONG MIHWA , Jong-Yeup Kim , Suehyun Lee Explainable Machine Learning Based a Packed Red Blood Cell Transfusion Prediction and Evaluation for Major Internal Medical Condition. JIPS(Journal of Information Processing Systems), 18(3), 302-310.(Corresponding author) 
  6. Kim HR, Sung M, Park JA, Jeong K, Kim HH, Lee S, Park YR. Analyzing adverse drug reaction using statistical and machine learning methods: A systematic review. Medicine (Baltimore). 2022 Jun 24;101(25):e29387. doi: 10.1097/MD.0000000000029387. PMID: 35758373; PMCID: PMC9276413. (Corresponding author) 
  7. **Lee S, Lee JH, Kim GJ, Kim JY, Shin H, Ko I, Choe S, Kim J.  Development of a Data-Driven Reference Standard for Adverse Drug Reaction (RS-ADR) Signal Assessment. JMIR Preprints. 06/12/2021:35464 (1st author) 
  8. An, D., Choi, J., Lee, J. et al. Time to surgery and survival in breast cancer. BMC Surg 22, 388 (2022). https://doi.org/10.1186/s12893-022-01835-1  (Corresponding author) 
  9. Hyunah Shin, Seonghyeon Park, Suehyun Lee. Adverse Drug Reaction Analysis Methods and Research Trends by Data Sources for Post-marketing Surveillance  https://doi.org/10.21032/jhis.2022.47.S3.S41 (Corresponding author) 
  10. Je-Hyeong Yu, Seunghee Lee, Jong-Yeup Kim, Ji-Woong Son, Gwan-Woo Ku, Suehyun Lee. A study on the availability of survival analysis of lung cancer patients using synthetic data (Corresponding author) 

2 0 2 1 
  1. Choi, S., Choi, S.J., Lee, S.H.,Kim, J.K. et al. Preliminary feasibility assessment of CDM-based active surveillance using current status of medical device data in medical records and OMOP-CDM. Sci Rep 11, 24070 (2021). https://doi.org/10.1038/s41598-021-03332-6 (Corresponding author) 
  2. Son S, An HG, Park JS, Kim SH, In SM, Kim JY, Lee S, Cha J, Lee JW, Lee KI. Delta neutrophil index levels can be a good indicator to predict patients with chronic rhinosinusitis who need surgery. Ear Nose Throat J. 2021 Nov 24:1455613211058491. doi: 10.1177/01455613211058491. Epub ahead of print. PMID: 34818928. (Corresponding author) 
  3. Shin J, Kim H, Yim HW, Kim JH, Lee S, Kim HS. Angiotensin-converting enzyme inhibitors versus angiotensin receptor blockers: New-onset diabetes mellitus stratified by statin use. J Clin Pharm Ther. 2021 Oct 20. doi: 10.1111/jcpt.13544. Epub ahead of print. PMID: 34668200. (Corresponding author) 
  4. **Lee S, Shin J, Kim HS, Lee MJ, Yoon JM, Lee S, Kim Y, Kim JY, Lee S. Hybrid Method Incorporating a Rule-Based Approach and Deep Learning for Prescription Error Prediction. Drug Saf. 2021 Nov 12. doi: 10.1007/s40264-021-01123-6. Epub ahead of print. PMID: 34766251. (Corresponding author)
  5. Kim, JY., Lee, S., Cha, J. et al. Chronic kidney disease is associated with increased risk of sudden sensorineural hearing loss and Ménière’s disease: a nationwide cohort study. Sci Rep 11, 20194 (2021). https://doi.org/10.1038/s41598-021-99792-x (1st author)
  6. Sang Min Lee, Suehyun Lee, Jong Yeup Kim. (2021). Patient Drug Database: Construction of Database for Patient Leading Drug Side Effects Exploration Using Patient Generated Health Data. Journal of Health Informatics and Statistics, 46(3), 315-325. (Corresponding author)
  7. **Shin H, Kim N, Cha J, Kim GJ, Kim JH, Kim JY, Lee S. Geriatrics on beers criteria medications at risk of adverse drug events using real-world data. Int J Med Inform. 2021 Jul 22;154:104542. doi: 10.1016/j.ijmedinf.2021.104542. Epub ahead of print. PMID: 34411951. (Corresponding author)
  8. Kim S, Lee S, Hong J, Ko I, Kim J-Y, Kim D-K. Effect of Ranitidine Intake on the Risk of Gastric Cancer Development. Healthcare. 2021; 9(8):1071. https://doi.org/10.3390/healthcare9081071 (1st author)
  9. Lee S, Kim HS.   Prospect of Artificial Intelligence Based on Electronic Medical Records.   J Lipid Atheroscler. 2021;10:e25. (1st author)
  10. Shin H, Cha J, Lee Y, Kim JY, Lee S. 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 J. 2021 Jul-Sep;27(3):14604582211033014. doi: 10.1177/14604582211033014. PMID: 34289723. (Corresponding author)
  11. ​Lee, S., Cha, J., Kim, JY. et al. Detection of unknown ototoxic adverse drug reactions: an electronic healthcare record-based longitudinal nationwide cohort analysis. Sci Rep 11, 14045 (2021) (1st author)
  12. Kim HJ, Kim HH, Ku H, Yoo KD, Lee S, Park JI, Kim HJ, Kim K, Chung MK, Lee KH, Kim JH. Smart Decentralization of Personal Health Records with Physician Apps and Helper Agents on Blockchain: Platform Design and Implementation Study. JMIR Med Inform. 2021 Jun 7;9(6):e26230. doi: 10.2196/26230. PMID: 34096877; PMCID: PMC8218219. (Corresponding author) 
  13. Shin H, Lee S. An OMOP-CDM based pharmacovigilance data-processing pipeline (PDP) providing active surveillance for ADR signal detection from real-world data sources. BMC Med Inform Decis Mak. 2021 May 17;21(1):159. doi: 10.1186/s12911-021-01520-y. PMID: 34001114; PMCID: PMC8130307. (Corresponding author)
  14. Shin H, Cha J, Lee C, Song H, Jeong H, Kim J-Y, Lee S. The 2011–2020 Trends of Data-Driven Approaches in Medical Informatics for Active Pharmacovigilance. Applied Sciences. 2021; 11(5):2249. doi: 10.3390/app11052249 (Corresponding author)

2 0 2 0
  1. Oh S, Lee TY, Kim M, Kim SH, Lee S, Cho S, Kim JH, Kwon JS. Effectiveness of antipsychotic drugs in schizophrenia: a 10-year retrospective study in a Korean tertiary hospital. NPJ Schizophr. 2020 Nov 19;6(1):32. doi: 10.1038/s41537-020-00122-3. PMID: 33214559; PMCID: PMC7677553. (Corresponding author) 
  2. Lee SM, Park Y, Kim YJ, Hwang HS, Seo H, Min BJ, Lee KH, Kim SY, Jung YM, Lee S, Park CW, Kim JH, Park JS. Identifying genetic variants associated with ritodrine-induced pulmonary edema. PLoS One. 2020 Nov 9;15(11):e0241215. doi: 10.1371/journal.pone.0241215. PMID: 33166306; PMCID: PMC7652239. (Corresponding author) 
  3. Lee J, Lee SH, Kim H, Lee SH, Cho JH, Lee H, Yim HW, Yoon KH, Kim HS, Kim JH. Low-density lipoprotein cholesterol reduction and target achievement after switching from statin monotherapy to statin/ezetimibe combination therapy: Real-world evidence. J Clin Pharm Ther. 2021 Feb;46(1):134-142. doi: 10.1111/jcpt.13271. Epub 2020 Oct 7. PMID: 33026659. (Corresponding author) 
  4. Kim H, You S, Park Y, Choi JY, Ma Y, Hong KT, Koh KN, Yun S, Lee KH, Shin HY, Lee S, Yoo KH, Im HJ, Kang HJ, Kim JH. Interplay between IL6 and CRIM1 in thiopurine intolerance due to hematological toxicity in leukemic patients with wild-type NUDT15 and TPMT. Sci Rep. 2021 May 6;11(1):9676. doi: 10.1038/s41598-021-88963-5. PMID: 33958640; PMCID: PMC8102572. (Corresponding author) 
  5. Kim HH, Park YR, Lee S, Kim JH. Composite CDE: modeling composite relationships between common data elements for representing complex clinical data. BMC Med Inform Decis Mak. 2020 Jul 3;20(1):147. doi: 10.1186/s12911-020-01168-0. PMID: 32620117; PMCID: PMC7333279. (Corresponding author) 
  6. Kim HS, Kim H, Lee SH, Kim JH. Comparative analysis of the efficacy of angiotensin II receptor blockers for uric acid level change in asymptomatic hyperuricaemia. J Clin Pharm Ther. 2020 Dec;45(6):1264-1270. doi: 10.1111/jcpt.13202. Epub 2020 Aug 1. PMID: 32737930. (Corresponding author)
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  1. **Lee S, Han J, Park RW, Kim GJ, Rim JH, Cho J, Lee KH, Lee J, Kim S, Kim JH. Development of a Controlled Vocabulary-Based Adverse Drug Reaction Signal Dictionary for Multicenter Electronic Health Record-Based Pharmacovigilance. Drug Saf. 2019 May;42(5):657-670. doi: 10.1007/s40264-018-0767-7. PMID: 30649749. (1st author)
  2. Park S, Cho H, Park S, Lee S, Kim K, Yoon HJ, Park J, Choi Y, Lee S, Kim JH, Kim S, Chin HJ, Kim DK, Joo KW, Kim YS, Lee H. Simple Postoperative AKI Risk (SPARK) Classification before Noncardiac Surgery: A Prediction Index Development Study with External Validation. J Am Soc Nephrol. 2019 Jan;30(1):170-181. doi: 10.1681/ASN.2018070757. Epub 2018 Dec 18. PMID: 30563915; PMCID: PMC6317608. (Corresponding author) 
  3. im HS, Lee SH, Kim TM, Kim JH. Developing a multi-center clinical data mart of ACEI and ARB for real-world evidence (RWE). Clin Hypertens. 2018 Dec 15;24:18. doi: 10.1186/s40885-018-0103-7. PMID: 30564448; PMCID: PMC6295049. (Corresponding author) 
  4. Kim HS, Lee S, Kim JH. Real-world Evidence versus Randomized Controlled Trial: Clinical Research Based on Electronic Medical Records. J Korean Med Sci. 2018 Jun 26;33(34):e213. doi: 10.3346/jkms.2018.33.e213. PMID: 30127705; PMCID: PMC6097073. (Corresponding author) 
  5. Kim HS, Lee H, Lee SH, Jeong YJ, Kim TM, Yang SJ, Baik SJ, Kim H, Lee SH, Cho JH, Choi IY, Yoon KH, Kim JH. Use of Moderate-Intensity Statins for Low-Density Lipoprotein Cholesterol Level above 190 mg/dL at Baseline in Koreans. Basic Clin Pharmacol Toxicol. 2017 Oct;121(4):272-278. doi: 10.1111/bcpt.12765. Epub 2017 Jul 9. PMID: 28165667. (Corresponding author) 
  6. Lee S, Choi J, Kim HS, Kim GJ, Lee KH, Park CH, Han J, Yoon D, Park MY, Park RW, Kang HR, Kim JH. Standard-based comprehensive detection of adverse drug reaction signals from nursing statements and laboratory results in electronic health records. J Am Med Inform Assoc. 2017 Jul 1;24(4):697-708. doi: 10.1093/jamia/ocw168. PMID: 28087585; PMCID: PMC7651894. (1st author)
  7. Min-Gyu Kang, Dong-Yoon Kang, Hye-Ryun Kang, Suehyun Lee and Ju-Han Kim. New trend of pharmacovigilance: transition from passive to active surveillance by using distributed drug safety monitoring system. Korean Society for Pharmacoepidemiology and Risk Management (KoPERM). (Corresponding author) 
  8. Kim HS, Lee SH, Kim H, Lee SH, Cho JH, Lee H, Yim HW, Kim SH, Choi IY, Yoon KH, Kim JH. Statin-related aminotransferase elevation according to baseline aminotransferases level in real practice in Korea. J Clin Pharm Ther. 2016 Jun;41(3):266-72. doi: 10.1111/jcpt.12377. Epub 2016 Mar 25. PMID: 27015878. (Corresponding author) 
  9. Kim HS, Kim H, Lee S, Lee KH, Kim JH. Current Clinical Status of Telehealth in Korea: Categories, Scientific Basis, and Obstacles. Healthc Inform Res. 2015 Oct;21(4):244-50. doi: 10.4258/hir.2015.21.4.244. Epub 2015 Oct 31. PMID: 26618030; PMCID: PMC4659881. (Corresponding author) 
  10. Han HK, An H, Shin KH, Shin D, Lee SH, Kim JH, Cho SH, Kang HR, Jang IJ, Yu KS, Lim KS. Trough concentration over 12.1 mg/L is a major risk factor of vancomycin-related nephrotoxicity in patients with therapeutic drug monitoring. Ther Drug Monit. 2014 Oct;36(5):606-11. doi: 10.1097/FTD.0000000000000061. PMID: 24577126. (Corresponding author) 
  11. Hong KS, Kang SJ, Choi JK, Kim JH, Seo H, Lee S, Jung JW, Kang HR, Cho SH, Kim JS. Gastrointestinal tuberculosis is not associated with proton pump inhibitors: a retrospective cohort study. World J Gastroenterol. 2013 Jan 14;19(2):258-64. doi: 10.3748/wjg.v19.i2.258. PMID: 23345949; PMCID: PMC3547571. (Corresponding author) 
  12. Kiwon Kang, Suehyun Lee, Juhan Kim. Detection of Adverse Drug Reaction Signals from Electronic Medical Record(EMR). Proceedings of the 2nd International Conference on Internet and 5th Asia Pacific International Conference on Information Science and Technology;161-163 (Corresponding author) 
  13. Lee, Young-Ho Kim, In-Jea Suehyun Lee Kim, Jong-Hoon Kang, Young-Chang U-health wellbeing index system design for health care of crew on ships The Journal of Advanced Navigation Technology The Korea Navigation Institute 2009, pp.577-585 (Corresponding author) 
  14. Suehyun Lee, Jung, In-Sung Kim, Jae-Kwon Park, Jee-Song Kim, Si-Ra Kang, Un-Gu Lee, Young-Ho. BPM-based Process Management System for Quick Response in Emergency Room Proceedings of the Korean Society of Computer Information Conference. Korean Society of Computer Information 2009, pp.107-111 (1st author) 
  15. Yoon eun-sil ,Park dong-kyun ,Jeong eun-young, Jeong in-sung, Suehyun Lee, Lee young-ho. Design of an APACHE-based Ⅰ-CDSS for Predicting the Degree of Severity of Emergence Patients. The Korean Society for internet information 2009, pp247-252 (Corresponding author) 

Oral Presentation 

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)
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