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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

Predictive Performance of Machine Learning–Based Models for Poststroke Clinical Outcomes in Comparison With Conventional Prognostic Scores: Multicenter, Hospital-Based Observational Study

Journals

  1. 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
  2. Ebere D, Oluchi D, Owhonda R, Goodday N, Godknows U, Igulu K. Optimising Stroke Recurrence Prediction Using Minimal Clinical Features and Machine Learning Models. International Journal of Innovative Science and Research Technology 2025:780 View
  3. Kakaletsis N, Protogerou A, Hosomi N, Nezu T, Michel P, Guillaume T, Strambo D, Kim Y, Sung W, Vemmos K, Korompoki E, Acampa M, Putaala J, Tulkki L, Hermann M, Rejmer P, Bath P, Woodhouse L, Athanasopoulou E, Milionis H, Ntaios G, Kotsis V, Savopoulos C. Impact of vascular aging on stroke prognosis: the novel severity and arterial stiffness (SASt) score. Neurological Sciences 2025;46(12):6607 View
  4. Zhang K, Chen R, Yang J, Yan Y, Liu L, Meng C, Li P, Xing G, Liu X. Machine Learning Models for Mortality Prediction in Intensive Care Unit Patients With Ischemic Stroke Associated With Intracranial Artery Stenosis: Retrospective Cohort Study. JMIR Cardio 2026;10:e82042 View

Conference Proceedings

  1. Kalvala S, B B. 2025 IEEE 1st International Conference on Smart Innovations in Systems, Infrastructure, Mechanical, Power, AI and Computing Technologies (SISIMPACT). Validation of Predictive Framework for Post-COVID Risk Assessment: Integration of Explainable AI for Interpretable Healthcare Decision Support View