Machine Learning Models for ASCVD Risk Prediction in an Asian Population

Hsiao, Yu-ChungYu-ChungHsiaoKuo, Chen-YuanChen-YuanKuoFANG-JU LINYEN-WEN WULin, Tsung-HsienTsung-HsienLinYeh, Hung-IHung-IYehChen, Jaw-WenJaw-WenChenCHAU-CHUNG WU2024-03-132024-03-132023-111011-6842https://scholars.lib.ntu.edu.tw/handle/123456789/640826Atherosclerotic cardiovascular disease (ASCVD) is prevalent worldwide including Taiwan, however widely accepted tools to assess the risk of ASCVD are lacking in Taiwan. Machine learning models are potentially useful for risk evaluation. In this study we used two cohorts to test the feasibility of machine learning with transfer learning for developing an ASCVD risk prediction model in Taiwan.enAtherosclerotic cardiovascular disease; Machine learning; Risk prediction modelMachine Learning Models for ASCVD Risk Prediction in an Asian Population - How to Validate the Model is Importantjournal article10.6515/ACS.202311_39(6).20230528A380224272-s2.0-85182699860https://api.elsevier.com/content/abstract/scopus_id/85182699860