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

Clinical Information and Decision Making (2010) Machine Learning (2176) Stroke (257) AI applications in genomics and pathology informatics, including ‘Generative AI’ (25) Genomics and Bioinformatics for Clinical Use (50) Digital Health Reviews (1782) Cardiac Risk and Cardiac Risk Calculators (113) Tools, Programs and Algorithms (396) Artificial Intelligence (2257)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/85654, first published .
Machine Learning for Predicting Stroke Risk Stratification Using Multiomics Data: Systematic Review

Machine Learning for Predicting Stroke Risk Stratification Using Multiomics Data: Systematic Review

Machine Learning for Predicting Stroke Risk Stratification Using Multiomics Data: Systematic Review

Authors of this article:

Hae Young Yoo1 Author Orcid Image ;   Hyerim Shin1 Author Orcid Image ;   Eun-Jung Kim1 Author Orcid Image ;   Youn-Jung Son1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Hae Young Yoo   1 , RN, PhD ;   Hyerim Shin   1 , RN, BSN ;   Eun-Jung Kim   1 , RN, MSN ;   Youn-Jung Son   1 , RN, PhD, CCAPN, FAAN

1 Chung-Ang University, Seoul, Republic of Korea

Corresponding Author:

  • Youn-Jung Son, RN, PhD, CCAPN, FAAN
  • Chung-Ang University
  • 84 Heukseok-roDongjak District, Red Cross College of Nursing
  • Seoul 06974
  • Republic of Korea
  • Phone: 82 2-820-5198
  • Fax: 82 2-824-7961
  • Email: yjson@cau.ac.kr