This paper is in the following e-collection/theme issue:

Development and Evaluation of Research Methods, Instruments and Tools (439) Machine Learning (1401) Stroke (150) Clinical Information and Decision Making (1340) Clinical Informatics (919) Tools, Programs and Algorithms (246)

Published on in Vol 5, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23440, first published .
Predicting Risk of Stroke From Lab Tests Using Machine Learning Algorithms: Development and Evaluation of Prediction Models

Predicting Risk of Stroke From Lab Tests Using Machine Learning Algorithms: Development and Evaluation of Prediction Models

Predicting Risk of Stroke From Lab Tests Using Machine Learning Algorithms: Development and Evaluation of Prediction Models

Authors of this article:

Eman M Alanazi1, 2 Author Orcid Image ;   Aalaa Abdou3 Author Orcid Image ;   Jake Luo4 Author Orcid Image
Article Authors Cited by (12) Tweetations (4) Metrics

Eman M Alanazi   1, 2 , MSc ;   Aalaa Abdou   3 , MD ;   Jake Luo   4 , PhD

1 Department of Health Informatics, College of Health Sciences, Saudi Electronic University, Riyadh, Saudi Arabia

2 Department of Biomedical and Health Informatics, College of Engineering, University of Wisconsin-Milwaukee, Milwaukee, WI, United States

3 Department of Radiotherapy, Children's Cancer Hospital 57357, Cairo, Egypt

4 Department of Health Informatics and Administration, College of Health Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI, United States

Corresponding Author:

  • Eman M Alanazi, MSc
  • Department of Health Informatics
  • College of Health Sciences
  • Saudi Electronic University
  • Abi Bakr As Siddiq Branch Rd
  • Riyadh, 13323
  • Saudi Arabia
  • Phone: 966 112613500
  • Email: e.alanazi@seu.edu.sa