Development of machine learning models for predicting outcome in patients with distal medium vessel occlusions: a retrospective study.

ABSTRACT:

Background

While numerous prognostic factors have been reported for large vessel occlusion (LVO)-acute ischemic stroke (AIS) patients, the same cannot be said for distal medium vessel occlusions (DMVOs). We used machine learning (ML) algorithms to develop a model predicting the short-term outcome of AIS patients with DMVOs using demographic, clinical, and laboratory variables and baseline computed tomography (CT) perfusion (CTP) postprocessing quantitative parameters.

Methods

In this retrospective cohort study, consecutive patients with AIS admitted to two comprehensive stroke centers between January 1, 2017, and September 1, 2022, were screened. Demographic, clinical, and radiological data were extracted from electronic medical records. The clinical outcome was divided into

SUBMITTER: Ozkara BB 

PROVIDER: S-EPMC10498209 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature