Machine Learning Techniques in Blood Pressure Management During the Acute Phase of Ischemic Stroke.

ABSTRACT:

Background and purpose

Elevated blood pressure (BP) in acute ischemic stroke is common. A raised BP is related to mortality and disability, yet excessive BP lowering can be detrimental. The optimal BP management in acute ischemic stroke remains insufficient and relies on expert consensus statements. Permissive hypertension is recommended during the first 24-h after stroke onset, yet there is ongoing uncertainty regarding the most appropriate blood BP management in the acute phase of ischemic stroke. This study aims to develop a decision support tool for improving the management of extremely high BP during the first 24 h after acute ischemic stroke by using machine learning (ML) tools.

Methods

This diagnostic accuracy study used retrospective data from MIMIC-III and eICU data

SUBMITTER: Mazza O 

PROVIDER: S-EPMC8882601 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature