Stroke prevention in rural residents: development of a simplified risk assessment tool with artificial intelligence.

Zhongao DingLiying ZhangMiaomiao NiuBo ZhaoXiaotian LiuWenqian HuoJian HouZhenxing MaoZhenfei WangChongjian Wang

Published in: Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology (2023)

A well-performed scoring system for assessing stroke risk in rural residents was developed in this study. This risk score would facilitate stroke screening and the prevention of cardiovascular disease in economically underdeveloped areas.

Keyphrases

artificial intelligence
atrial fibrillation
cardiovascular disease
risk assessment
machine learning
south africa
big data
deep learning
heavy metals
cerebral ischemia
human health
metabolic syndrome
cardiovascular events
cardiovascular risk factors