Development of machine learning-based models for predicting risk factors in acute cerebral infarction patients: a clinical retrospective study.

Objectives: The aim of this study was to develop machine learning-based models for predicting acute cerebral infarction (ACI) in patients.

Methods: We extracted the data of ACI patients and non-ACI patients (as control) from two hospitals. The Lasso algorithm was employed to select the most crucial features associated with ACI.