The prediction of asymptomatic carotid atherosclerosis with electronic health records: a comparative study of six machine learning models

The prediction of asymptomatic carotid atherosclerosis with electronic health records: a comparative study of six machine learning models

Abstract Background Screening carotid B-mode ultrasonography is a frequently used method to detect subjects with carotid atherosclerosis (CAS). Due to the asymptomatic progression of most CAS patients, early identification is challenging for clinicians, and it may trigger ischemic stroke. Recently,...

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Bibliographic Details
Main Authors: Jiaxin Fan, Mengying Chen, Jian Luo, Shusen Yang, Jinming Shi, Qingling Yao, Xiaodong Zhang, Shuang Du, Huiyang Qu, Yuxuan Cheng, Shuyin Ma, Meijuan Zhang, Xi Xu, Qian Wang, Shuqin Zhan
Format: Article
Language:English
Published: BMC 2021-04-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Machine learning
Asymptomatic carotid atherosclerosis
Electronic health records
Prediction
Online Access:https://doi.org/10.1186/s12911-021-01480-3

Internet

https://doi.org/10.1186/s12911-021-01480-3

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