Published on in Vol 3 (2024)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/46840, first published
.
![Predictive Performance of Machine Learning–Based Models for Poststroke Clinical Outcomes in Comparison With Conventional Prognostic Scores: Multicenter, Hospital-Based Observational Study Predictive Performance of Machine Learning–Based Models for Poststroke Clinical Outcomes in Comparison With Conventional Prognostic Scores: Multicenter, Hospital-Based Observational Study](https://asset.jmir.pub/assets/978b82f7bdf2e7a228d0865b948c0470.png 480w,https://asset.jmir.pub/assets/978b82f7bdf2e7a228d0865b948c0470.png 960w,https://asset.jmir.pub/assets/978b82f7bdf2e7a228d0865b948c0470.png 1920w,https://asset.jmir.pub/assets/978b82f7bdf2e7a228d0865b948c0470.png 2500w)
Journals
- Bui H, Nguyễn Thị Phương Q, Cam Tu H, Nguyen Phuong S, Pham T, Vu T, Nguyen Thi Thu H, Khanh Ho L, Nguyen Tien D. The Roles of NOTCH3 p.R544C and Thrombophilia Genes in Vietnamese Patients With Ischemic Stroke: Study Involving a Hierarchical Cluster Analysis. JMIR Bioinformatics and Biotechnology 2024;5:e56884 View