A Blood Glucose Control Framework Based on Reinforcement Learning With Safety and Interpretability: In Silico Validation. - Min Hyuk Lim; Woo Hyung Lee; Byoungjun Jeon; Sungwan Kim (IEEE Access, 2021)

Multi-Task Disentangled Autoencoder for Time-Series Data in Glucose Dynamics. - Min Hyuk Lim; Young Min Cho; Sungwan Kim (IEEE J. Biomed. Health Informatics, 2022)

A practical approach based on learning-based model predictive control with minimal prior knowledge of patients for artificial pancreas. - Min Hyuk Lim; Sungwan Kim (Comput. Methods Programs Biomed., 2023)

Towards optimal design of patient isolation units in emergency rooms to prevent airborne virus transmission: From computational fluid dynamics to data-driven modeling. - Jong Hyeon Lee; Jae Woo Shim; Min Hyuk Lim; Changhoon Baek; Byoungjun Jeon; Minwoo Cho; Sungwoo Park; Dong Hyun Choi; Byeong Soo Kim; Dan Yoon; Young Gyun Kim; Seung Yeon Cho; et al. (Comput. Biol. Medicine, 2024)

Individualized decision making in on-scene resuscitation time for out-of-hospital cardiac arrest using reinforcement learning. - Dong Hyun Choi; Min Hyuk Lim; Ki Jeong Hong; Young Gyun Kim; Jeong Ho Park; Kyoung Jun Song; Sang Do Shin; Sungwan Kim (npj Digit. Medicine, 2024)

Continual learning framework for a multicenter study with an application to electrocardiogram. - Junmo Kim; Min Hyuk Lim; Kwangsoo Kim; Hyung-Jin Yoon (BMC Medical Informatics Decis. Mak., 2024)