期限(时间)
医学
内科学
预测建模
心脏病学
计算机科学
机器学习
物理
量子力学
作者
Xing-he Sun,Chaoqun Wu,Jun-ping Kang,Hui Lv,Xiaohui Liu
标识
DOI:10.1016/j.atherosclerosis.2024.118557
摘要
We aimed at creating and validating a prognostic model incorporating easily accessible clinical and laboratory parameters to forecast the likelihood of short-term progression of carotid atherosclerosis.
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