Machine learning is an effective method to predict the 90-day prognosis of patients with transient ischemic attack and minor stroke

ABSTRACT:

Objective

We aimed to investigate factors related to the 90-day poor prognosis (mRS≥3) in patients with transient ischemic attack (TIA) or minor stroke, construct 90-day poor prognosis prediction models for patients with TIA or minor stroke, and compare the predictive performance of machine learning models and Logistic model.

Method

We selected TIA and minor stroke patients from a prospective registry study (CNSR-III). Demographic characteristics,smoking history, drinking history(≥20g/day), physiological data, medical history,secondary prevention treatment, in-hospital evaluation and education,laboratory data, neurological severity, mRS score and TOAST classification of patients were assessed. Univariate and multivariate logistic regression analyses were performed in the

SUBMITTER: Chen S 

PROVIDER: S-EPMC9287991 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature