Chul Park

Machine Learning Model for the Prediction of Hemorrhage in Intensive Care Units

D. Yoon, Jinseok Lee, Sora Kang, 2022, Healthcare informatics research.

Artificial intelligence can predict the mortality of COVID-19 patients at the admission time using routine blood samples.

Jinseok Lee, C. Chung, J. Seo, 2020, Journal of medical Internet research.

An Artificial Intelligence Model to Predict the Mortality of COVID-19 Patients at Hospital Admission Time Using Routine Blood Samples: Development and Validation of an Ensemble Model

Jinseok Lee, C. Chung, J. Seo, 2020, Journal of Medical Internet Research.

Gender Bias in Artificial Intelligence: Severity Prediction at an Early Stage of COVID-19

Jinseok Lee, Heewon Chung, Chul Park, 2021, Frontiers in Physiology.

Prediction and Feature Importance Analysis for Severity of COVID-19 in South Korea Using Artificial Intelligence: Model Development and Validation

Hyun-Ok Song, Jinseok Lee, J. Seo, 2021, Journal of medical Internet research.

Prediction and Feature Importance Analysis for Severity of COVID-19 in South Korea Using Artificial Intelligence: Model Development and Validation

Hyun-Ok Song, Jinseok Lee, J. Seo, 2021, Journal of Medical Internet Research.

An Artificial Intelligence Model to Predict the Mortality of COVID-19 Patients at Hospital Admission Time Using Routine Blood Samples: Development and Validation of an Ensemble Model

Jinseok Lee, C. Chung, J. Seo, 2020, Journal of medical Internet research.