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

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

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

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

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