Knowledge Integration and Use-Case Analysis for a Customized Drug-Drug Interaction CDS Service. - Hye Jin Kam; Man Young Park; Woojae Kim; Dukyong Yoon; Eun Kyoung Ahn; Rae Woong Park (SUComS, 2010)

Comparing Statistical and Data Mining Approaches to Classify 4-year Risk for Progression of Coronary Artery Calcification in Men. - Hye Jin Kam; Ha-Young Kim; Sanghyun Yoo; Jihyun Lee; Kyoung-Gu Woo; Yoon-Ho Choi; Jidong Sung; Sung Won Cho (AMIA, 2012)

Prediction of Carotid Artery Stenosis using Ensemble-based Classification. - Sanghyun Yoo; Jihyun Lee; Ha-Young Kim; Hye Jin Kam; Kyoung-Gu Woo; Yoon-Ho Choi; Hee Young Shin; Mira Kang (AMIA, 2012)

Identifying relatively high-risk group of coronary artery calcification based on progression rate: Statistical and machine learning methods. - Ha-Young Kim; Sanghyun Yoo; Jihyun Lee; Hye Jin Kam; Kyoung-Gu Woo; Yoon-Ho Choi; Jidong Sung; Mira Kang (EMBC, 2012)

Monitoring for disease progression via mathematical time-series modeling: Actigraphy-based monitoring patients with depressive disorder. - Ha-Young Kim; Hye Jin Kam; Jihyun Lee; Sanghyun Yoo; Kyoung-Gu Woo; Jai Sung Noh; Seungmin Yoo (CCNC, 2013)

Prediction of 4-year risk for coronary artery calcification using ensemble-based classification. - Jihyun Lee; Hye Jin Kam; Ha-Young Kim; Sanghyun Yoo; Kyoung-Gu Woo; Yoon-Ho Choi; Jeong Euy Park; Soo Jin Cho (EMBC, 2013)

Learning representations for the early detection of sepsis with deep neural networks. - Hye Jin Kam; Ha Young Kim (Comput. Biol. Medicine, 2017)

Deep-learning-based automated terminology mapping in OMOP-CDM. - Byungkon Kang; Jisang Yoon; Ha Young Kim; Sung Jin Jo; Yourim Lee; Hye Jin Kam (J. Am. Medical Informatics Assoc., 2021)