RIDAB: Electronic medical record-integrated real world data platform for predicting and summarizing interactions in biomedical research from heterogeneous data resources. - Yunha Kim; Imjin Ahn; Ha Na Cho; Hansle Gwon; Hee-Jun Kang; Hyeram Seo; Heejung Choi; Kyu-Pyo Kim; Tae Joon Jun; Young-Hak Kim (Comput. Methods Programs Biomed., 2022)

LDP-GAN : Generative adversarial networks with local differential privacy for patient medical records synthesis. - Hansle Gwon; Imjin Ahn; Yunha Kim; Hee-Jun Kang; Hyeram Seo; Heejung Choi; Ha Na Cho; Minkyoung Kim; JiYe Han; Gaeun Kee; Seohyun Park; Kye Hwa Lee; et al. (Comput. Biol. Medicine, 2024)

Explainable predictions of a machine learning model to forecast the postoperative length of stay for severe patients: machine learning model development and evaluation. - Ha Na Cho; Imjin Ahn; Hansle Gwon; Hee-Jun Kang; Yunha Kim; Hyeram Seo; Heejung Choi; Minkyoung Kim; JiYe Han; Gaeun Kee; Seohyun Park; Tae Joon Jun; et al. (BMC Medical Informatics Decis. Mak., 2024)

SurgeryLSTM: A Time-Aware Neural Model for Accurate and Explainable Length of Stay Prediction After Spine Surgery. - Ha Na Cho; Sairam Sutari; Alexander Lopez; Hansen Bow; Kai Zheng (CoRR, 2025)

Barriers to Digital Mental Health Services among College Students. - Ha Na Cho; Kyuha Jung; Daniel Eisenberg; Cheryl A. King; Kai Zheng (CoRR, 2025)