Hae Reong Kim, MinDong Sung, Ji Ae Park, Ho Heon Kim, Suehyun Lee, Yu Rang Park. Analyzing adverse drug reaction using statistical and machine learning methods: A systematic review. Medicine (accepted)

Ho Heon Kim; Young In Kim; Andreas Michaelides; Yu Rang Park. Weight loss trajectories and related factors in a 16-week mobile obesity intervention program: A retrospective observational study. J Med Internet Res (forthcoming). doi:10.2196/29380

Sung M, Cha D, Park YR. Local Differential Privacy in the Medical Domain to Protect Sensitive Information: Algorithm Development and Real-World Validation. JMIR Med Inform 2021;9(11):e26914

Cha D, Sung M, Park Y. Implementing Vertical Federated Learning Using Autoencoders: Practical Application, Generalizability, and Utility Study. JMIR Med Inform 2021;9(6):e26598

Oh S, Sung M, Rhee Y, Hong N, Park YR. Evaluation of the Privacy Risks of Personal Health Identifiers and Quasi-Identifiers in a Distributed Research Network: Development and Validation Study JMIR Med Inform 2021;9(5):e24940

Yu Rang Park, Hyery Kim, Ji Ae Park, Sang Hyun Ahn, Seyun Chang, Jae Won Shin, Myeongchan Kim, Jae-Ho Lee. Comparative Analysis of Single and Combined Antipyretics Using Patient-Generated Health Data: Retrospective Observational Study. jmir mhealth and uhealth (accepted)

Ho Heon Kim, Jae Il An, Yu Rang Park. Development of a prediction model for detecting developmental disabilities in preschool-age children through digital biomarker-driven deep learning in serious games. JMIR Serious Games (accepted)

Dongjin Seo, Han Sang Kim, Yu Rang Park. Automated computed tomography (CT)-derived skeletal muscle mass determination as a significant prognostic factor in colorectal cancer patients using deep neural network model. ASCO 2021.

Ji Ae Park, MS1, Min Dong Sung, MD1, Ho Heon Kim, BS1, Yu Rang Park, PhD. Weight-based Framework for Predictive Modeling of Multiple Databases with Non-iterative Communication without Data Sharing: Privacy-protecting Analytic Method for Multi-institutional Studies. JMIR Medical Informatics (accepted)

Ho Heon Kim, Young In Kim, Yu Rang Park. Development and Validation of an Interpretable Conditional RNN for Weight Change Prediction Using an Obesity Management Mobile App. JMIR mHealth and uHealth. (accept)

Jeong Hoon Lee, Solbi Kweon, Yu Rang Park. Sharing genetic variants with the NGS pipeline is essential for effective genomic data sharing and reproducibility in health information exchange. Scientific Reports. (accept)

Jang Bong Kyung is an MS Candidate interested in Digital Healthcare, Medical Informatics, Bioinformatics, Personal Data mining and Machine Learning, so he joined our lab.

Won Seok Jang is an MS Candidate interested in statiscial analysis, machine learning, data mining and medical AI, so he joined our lab.

Hongwook Kwon, Ho Heon Kim, Jae Il An, Jae-Ho Lee, Yu Rang Park. Development of a Prediction Model for Customer Churn with Life-log Data for Digital Healthcare Applications: A Retrospective Observational Study. JMIR. (accept)

JoonNyung Heo, MinDong Sung, Sangchul Yoon, Jinkyu Jang, Wonwoo Lee, Deokjae Han, Hyung-Jun Kim, Han-Kyeol Kim, Ji Hyuk Han, Woong Seog, Beomman Ha, Yu Rang Park. Patient Self-Checkup App for COVID-19: Development and Usage Pattern Analysis. JMIR

Hae Reong Kim, Hea yon Lee, Yoonje Seong, Eunju Lee, Hee-Won Jung, Yu Rang Park, Il-Young Jang. Longitudinal trajectory of disability in community-dwelling older adults: An observational cohort study in South Korea. BMC Geriatrics (accepted)

JoonNyung Heo, Ji Ae Park, Deokjae Han, Hyung-Jun Kim, Daeun Ahn, Beomman Ha, Woong Seog, Yu Rang Park. A COVID-19 Outcome Prediction and Monitoring Solution for Military Hospitals in South Korea: Development and Evaluation of a Platform. JMIR (accepted)

Dongchul Cha, Seung Ho Shin, Jungghi Kim, Tae Seong Eo, Gina Na, Seonghoon Bae, Jinsei Jung, Sung Huhn Kim, In Seok Moon, Jaeyoung Choi, Yu Rang Park. Feasibility of Asynchronous and Automated Telemedicine in Otolaryngology: Prospective Cross-Sectional Study. JMIR Medical Informatics. (accepted)

Kyeong Seob Jeong is an MS Candidate interested in Digital healthcare, Personal Data mining and Machine Learning, so he joined our lab.

Yu Rang Park, Kyu-pyo Kim, Jung Bok Lee, Hae Reong Kim, Yongman Lyu, Jeong-Eun Kim, Yong Sang Hong, Jae-Lyun Lee, Tae Won Kim. Evaluating Waiting Time with Real World Health Information in a High-Volume Cancer Center. Medicine. (accepted)