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. A Process for Quality Management of EMR-Based Data: A Case Study Using Real Colorectal Cancer Data
  6. Multi-institutional drug use patterns in hospitalized elderly patients on polypharmacy based on the common data model
  7. Predicting Adverse Drug Reactions Using Word Embedding with BERT-Based Models : Comparative Study
  8. DQA4M: The application of Data Quality Assessment Process for Medical Research based on Electronic Health Record(EHR)
  9. National Trends in Violence Victimization and COVID-19 Pandemic-–Related related Risk Factors Among South Korean Adolescents From from 2012 to 2022
  10. Predicting the physiological effects of multiple drugs using electronic health record


  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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2 0 2 5
[SCIE]
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1. Jeon Junhyeok, Hong Eujin, Kim Jong-Yeup, Lee Suehyun and Kim Hyun Uk, "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. Jeon Woohyuk, Park Minjae, An Doyeon, Nam Wonshik, Shin Ju-Young, Lee Seunghee and Lee Suehyun, "Context-Aware Biomedical Word Embeddings Enhance ADR Prediction: A Shift from Word2Vec to BERT", JMIR Medical Informatics, (2024 JCR IF: 3.8)  (Corresponding author)  doi.org/10.2196/67513
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3. Kim Jun Seo, Lee Jeong Hoon, Yeon Yousung, An Do-Yeon, Kim Seok Jun, Noh Myung-Giun and Lee Suehyun, "Predicting Nottingham grade in breast cancer digital pathology using a foundation model", Breast Cancer Research, vol 27, issue 1, pp. 1-14, 2025 (2024 JCR IF: 5.6)  (Corresponding author)  doi.org/10.1186/s13058-025-02019-4
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4. An Doyeon, Lim Minsik and Lee Suehyun, "Challenges for Data Quality in the Clinical Data Life Cycle: Systematic Review", Journal of Medical Internet Research, vol 27, pp. 15, April 2025 (2024 JCR IF: 6.0) - Top 7% Journal  
(Corresponding author)  doi.org/10.2196/60709

5. Jung Kyungyeon, Kim Ju Hwan, Bea Sungho, Ko Hwa Yeon, You Seng Chan, Choi Eue-Keun, Lee Suehyun, Lim Minsik, Kim Grace Juyun, Kang Dong Yoon and Shin Ju-Young, "Association between sacubitril/valsartan and risk of dementia in patients with heart failure: a nationwide cohort study", European Heart Journal-Cardiovascular Pharmacotherapy, 
May 2025 (2024 JCR IF: 6.1) - Top 9% Journal  doi.org/10.1093/ehjcvp/pvaf024
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6. Yeon Yousung, Lee Hyo-jae, Kim Jun Seo, An Doyeon, Lee Jeong Hoon and Lee Suehyun, "BR-Mix3DNet: Predicting Breast Neoadjuvant Chemotherapy Response with a Hybrid MLP-Mixer and 3D CNN Model", IEEE Access, June 2025 
(2024 JCR IF: 3.6)  (Corresponding author)  doi.org/10.1109/ACCESS.2025.3578669​
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[SCOPUS]
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1. Kim Junseo, Kim Seok Jun, Ahn Junseok and Lee Suehyun, "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
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[KCI]
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---제외---
  • 1. Development of an Application for Communication Between Rehabilitation Patients and Physicians: Based on the Shared Decision Making Model (Corresponding author)

2 0 2 4
[SCIE]
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1. Kwon Mihye, Joung Chung-Il, Shin Hyunah, Lee Chung Chun, Song Young Soo, Lee Yung Jin, Kang Seonghui, Kim Jong-Yeup and Lee Suehyun, "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. Heo Suncheol, Kang Eun-Ae, Yu Jae Yong, Kim Hae Reong, Lee Suehyun, Kim Kwangsoo, Hwangbo Yul, Park Rae Woong, Shin Hyunah, Ryu Kyeongmin, Kim Chungsoo, Jung Hyojung, Chegal Yebin, Lee Jae-Hyun and Park Yu Rang, "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. Kim Grace Juyun, Lee Ji Sung, Jang Sujung, Lee Seonghui, Jeon Seongwoo, Lee Suehyun, Kim Ju Han and Lee Kye Hwa, "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, Lee Suehyun 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. Lee Chung-Chun, Lee Seunghee, Song Mi-Hwa, Kim Jong-Yeup and Lee Suehyun, "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. Roh Gyun-Ho, Lee Seunghee, Kim Jong-Yeup and Lee Suehyun, "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
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[SCOPUS]
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1. Lee Jisan, Lee Suehyun, Baik Seo Yeon, Ko Taehoon, Yang Kwangmo and Lee Younghee, "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
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[KCI]
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---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)
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2 0 2 3
[SCIE]

1. Han Ae Ra, Lee Suehyun, Cha Jaehun, Kim Jong-Yeop, Kim Dong-Kyu, Han Jae Won, Kim Chul Jung and Lee Sung Ki, "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. Lee Seunghee, Woo Hyekyung, Lee Chung Chun, Kim Gyeongmin, Kim Jong-Yeup and Lee Suehyun, "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. Lee Suehyun, Kim Hyunah, Yim Hyeon Woo, Kim Hun-Sung and Kim Ju Han, "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. Lee Seunghee, Kim Seonyoung, Lee Jieun, Kim Jong-Yeop, Song Mi-Hwa and Lee Suehyun, "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
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5. Choe Seon, Lee Suehyun, Park Chan Hee, Lee Jeong Hoon, Kim Hyo Jung, Byeon Sun-ju, Choi Jeong-Hee, Yang Hyeon-Jong, Sim Da Woon, Cho Bum-Joo, Koo Hoseok, Kang Min-Gyu, Jeong Ji Bong, Choi In Young, Kim Sae-Hoon, Kim Woo Jin, Jung Jae-Woo, Lhee Sang-Hoon, Ko Young-Jin, Park Hye-Kyung, Kang Dong Yoon and Kim Ju Han, "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
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6. Lee Suehyun, Shin Hyunah, Choe Seon, Kang Min-Gyu, Kim Sae-Hoon, Kang Dong Yoon and Kim Ju Han, "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
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7. Lee Seunghee, Roh Gyun-Ho, Kim Jong-Yeup, Lee Young Ho, Woo Hyekyung and Lee Suehyun, "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. Kim Jong-Yeup, Gayrat Tangriberganov, Jung Woochul, Kim Dae Sung, Koo Hoon Sup and Lee Suehyun, "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

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[SCOPUS]

1. Heo Suncheol, Yu Jae Yong, Kang Eun Ae, Shin Hyunah, Ryu Kyeongmin, Kim Chungsoo, Chegal Yebin, Jung Hyojung, Lee Suehyun, Park Rae Woong, Kim Kwangsoo, Hwangbo Yul, Lee Jae-Hyun and Park Yu Rang, "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. Lee Suehyun, Jeon Seongwoo and Kim Hun-Sung, "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
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2. Kim Hae Reong, Sung MinDong, Park Ji Ae, Jeong Kyeongseob, Kim Ho Heon, Lee Suehyun and Park Yu Rang, "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
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3. Lee Suehyun, Lee Jeong Hoon, Kim Grace Juyun, Kim Jong-Yeup, Shin Hyunah, Ko Inseok, Choe Seon and Kim Ju Han, "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
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​4. An Doyeon, Choi Jihye, Lee Jaebin, Kim Jong-Yeup, Kwon Seonguk, Kim Jungeun, Lee Seunghee, Jeon Seongwoo, Lee Chungchun, Lee Suehyun and Woo Hyekyung, "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
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[SCOPUS]
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1. Lee Seongbin, Lee Seunghee, Chang Duhyeuk, Song Mi-hwa, Kim Jong-yeup and Lee Suehyun, "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
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[KCI]
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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
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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
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2 0 2 1
[SCIE]

1. Shin Hyunah, Cha Jaehun, Lee Chungchun, Song Hyejin, Jeong Hyuntae, Kim Jong-Yeup and Lee Suehyun, "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. Shin Hyunah and Lee Suehyun, "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. Kim Hyeong-Joon, Kim Hye Hyeon, Ku Hosuk, Yoo Kyung Don, Lee Suehyun, Park Ji In, Kim Hyo Jin, Kim Kyeongmin, Chung Moon Kyung, Lee Kye Hwa and Kim Ju Han, "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
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4. Lee Suehyun, Cha Jaehun, Kim Jong-Yeup, Son Gil Myeong and Kim Dong-Kyu, "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
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5. Shin Hyunah, Cha Jaehun, Lee Youngho, Kim Jong-Yeup and Lee Suehyun, "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
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6. Kim SunMoon, Lee Suehyun, Hong JeeYoung, Ko Inseok, Kim Jong-Yeup and Kim Dong-Kyu, "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. Shin Hyuna, Kim Nanyeong, Cha Jaehun, Kim Grace Juyun, Kim Ju Han, Kim Jong-Yeup and Lee Suehyun, "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. Kim Jong-Yeup, Lee Suehyun, Cha Jaehun, Son Gilmyeong and Kim Dong-Kyu, "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. Shin Juyoung, Kim Hyunah, Yim Hyeon Woo, Kim Ju Han, Lee Suehyun and Kim Hun-Sung, "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. Lee Seunghee, Shin Jeongwon, Kim Hyeon Seong, Lee Min Je, Yoon Jung Min, Lee Sohee, Kim Yongsuk, Kim Jong-Yeup and Lee Suehyun, "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. Son Sumin, An Hong Geun, Park Joong Su, Kim Seung Ho, In Seung Min, Kim Jong-Yeup, Lee Suehyun, Cha Jaehun, Lee Jong Wook and Lee Ki-Il, "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. Choi Sooin, Choi Soo Jeong, Kim Jin Kuk, Nam Ki Chang, Lee Suehyun, Kim Ju Han and Lee You Kyoung, "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
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[SCOPUS]
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1. Lee Suehyun and Kim Hun-Sung, "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
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​[KCI]
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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
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2 0 2 0
[SCIE]
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1. Kim Hyery, You Seungwon, Park Yoomi, Choi Jung Yoon, Ma Youngeun, Hong Kyung Tak, Koh Kyung-Nam, Yun Sunmin, Lee Kye Hwa, Shin Hee Young, Lee Suehyun, Yoo Keon Hee, Im Ho Joon, Kang Hyoung Jin and Kim Ju Han, "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
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2. Kim Hye Hyeon, Park Yu Rang, Lee Suehyun and Kim Ju Han, "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. Lee Jeongmin, Lee Suehyun, Kim Hyunah,  Lee Seung-Hwan, Cho Jae Hyoung, Lee Hyunyong, Yim Hyeon Woo, Yoon Kun-Ho, Kim Hun-Sung and Kim Ju Han, "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. Oh Sanghoon, Lee Tae Young, Kim Minah, Kim Se Hyun, Lee Suehyun, Cho Sunwoo, Kim Ju Han and Kwon Jun Soo, "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
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5. Lee Seung Mi, Park Yoomi, Kim Young Ju, Hwang Han-Sung, Seo Heewon, Min Byung​-Joo, Lee Kye Hwa, Kim So Yeon, Jung Young Mi, Lee Suehyun, Park Chan-Wook, Kim Ju Han and Park Joong Shin, "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
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6. Kim Hun-Sung, Kim Hyunah, Lee Suehyun and Kim Ju Han, "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
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~ 2 0 1 9
[SCIE]
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1. Lee Suehyun, Han Jongsoo, Park Rae Woong, Kim Grace Juyun, Rim John Hoon, Cho Jooyoung, Lee Kye Hwa, Lee Jisan, Kim Sujeong and Kim Ju Han, "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
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2. Park Sehoon, Cho Hyunjeong, Park Seokwoo, Lee Soojin, Kim Kwangsoo, Yoon Hyung Jin, Park Jiwon, Choi Yunhee, Lee Suehyun, Kim Ju Han, Kim Sejoong, Chin Ho Jun, Kim Dong Ki, Joo Kwon Wook, Kim Yon Su and Lee Hajeong, "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
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3. Kim Hun-Sung, Lee Suehyun and Kim Ju Han, "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
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4. Lee Suehyun, Choi Jiyeob, Kim Hun-Sung, Kim Grace Juyun, Lee Kye Hwa, Park Chan Hee, Han Jongsoo, Yoon Dukyong, Park Man Young, Park Rae Woong, Kang Hye-Ryun and Kim Ju Han, "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
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5. Kim Hun-Sung, Lee Hyeseon, Lee Suehyun, Jeong Yoo Jin, Kim Tong Min, Yang So Jung, Baik Sun Jung, Kim Hyunah, Lee Seung-Hwan, Cho Jae Hyoung, Choi In-Young, Yoon Kun-Ho and Kim Ju Han, "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. Kim Hun-Sung, Lee Suehyun, Kim Hyunah, Lee Seung-Hwan, Cho Jae Hyoung, Lee H, Yim Hyeon Woo, Kim S-H, Choi In-Young, Yoon Kun-Ho and Kim Ju Han, "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
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7. Han Hye Kyung, An Hyungmi, Shin Kwang-Hee, Shin Donghoon, Lee Suehyun, Kim Ju Han, Cho Sang-Heon, Kang Hye-Ryun, Jang In-Jin, Yu Kyung-Sang and Lim Kyoung Soo, "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
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8. Hong Kyoung Sup, Kang Seung Joo, Choi Jong Kyoung, Kim Ju Han, Seo Heewon, Lee Suehyun, Jung Jae-Woo, Kang Hye-Ryun, Cho Sang-Heon and Kim Joo Sung, "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. Kim Hun-Sung, Lee Suehyun, Kim Tong Min and Kim Ju Han, "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. Kim Hun-Sung, Kim Hyunah, Lee Suehyun, Lee Kye Hwa and Kim Ju Han, "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. Kang Kiwon, Lee Suehyun and Kim Juhan, "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. Lee Suehyun, Jun In-Sung, Kim Jae-Kwon, Park Jee-Song, Kim Si-Ra, Kang Un-Gu and Lee Young-Ho, "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. Yoon Eun-Sil, Park Dong-Kyun, Jeong Eun- Young, Jeong In-Sung, Lee Suehyun and 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, pp. 247-252, 2009
​
​​​

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