Comparing the performance of machine learning and conventional models for predicting atherosclerotic cardiovascular disease in a general Chinese population
Accurately predicting the risk of atherosclerotic cardiovascular disease (ASCVD) is crucial for implementing individualized prevention strategies and improving patient outcomes. Our objective is to develop mac...
Source: BMC Medical Informatics and Decision Making - Category: Information Technology Authors: Zihao Fan, Zhi Du, Jinrong Fu, Ying Zhou, Pengyu Zhang, Chuning Shi and Yingxian Sun Tags: Research Source Type: research
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