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Machine learning framework for atherosclerotic cardiovascular disease risk assessment

Parya Esmaeili,N. Roshanravan,3 Authors,M. Asghari-Jafarabadi

2022 · DOI: 10.1007/s40200-022-01160-7
Journal of Diabetes and Metabolic Disorders · 7 Citations

TLDR

Based on the optimal model, sex (females), age, smoking, and metabolic syndrome were shown to be the most important risk factors of ASCVD.