Optimizing anticoagulant use for stroke prevention: a systematic review of machine learning interventions

Optimizing anticoagulant use for stroke prevention: a systematic review of machine learning interventions

Objective: To identify and evaluate the use of machine learning interventions for optimizing anticoagulant use in stroke prevention among individuals at risk of stroke. Methods: This systematic review adhered to the PRISMA guidelines. Searches were conducted in PubMed and Google Scholar using MeSH...

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Bibliographic Details
Main Authors: Feras Almarshad, Abdurrahman Mohammad Alshahrani, Abdurrahman Saad Al Faiz, Aamir Abbas, Muhammad Shabbir
Format: Article
Language:English
Published: Khyber Medical University 2024-12-01
Series:Khyber Medical University Journal
Subjects:
machine learning
stroke
predictive modeling
artificial intelligence
anticoagulants
stroke prevention
atrial fibrillation
risk stratification
intelligence
Online Access:https://www.kmuj.kmu.edu.pk/article/view/23682
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https://www.kmuj.kmu.edu.pk/article/view/23682

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