Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47736, first published .
Comparing Explainable Machine Learning Approaches With Traditional Statistical Methods for Evaluating Stroke Risk Models: Retrospective Cohort Study

Comparing Explainable Machine Learning Approaches With Traditional Statistical Methods for Evaluating Stroke Risk Models: Retrospective Cohort Study

Comparing Explainable Machine Learning Approaches With Traditional Statistical Methods for Evaluating Stroke Risk Models: Retrospective Cohort Study

Journals

  1. Abujaber A, Albalkhi I, Imam Y, Nashwan A, Yaseen S, Akhtar N, Alkhawaldeh I. Predicting 90-Day Prognosis in Ischemic Stroke Patients Post Thrombolysis Using Machine Learning. Journal of Personalized Medicine 2023;13(11):1555 View
  2. 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
  3. Inchingolo F, Inchingolo A, Piras F, Ferrante L, Mancini A, Palermo A, Inchingolo A, Dipalma G. Management of Patients Receiving Anticoagulation Therapy in Dental Practice: A Systematic Review. Healthcare 2024;12(15):1537 View
  4. Zhou Y, Xie H, Li X, Huang W, Wu X, Zhang X, Dou Z, Li Z, Hou W, Chen L. Predicting upper limb motor recovery in subacute stroke patients via fNIRS-measured cerebral functional responses induced by robotic training. Journal of NeuroEngineering and Rehabilitation 2024;21(1) View
  5. Wang B, Li D, Geng Y, Jin F, Wang Y, Lv C, Lv T, Xue Y, Zhang P. Interpretable predictive value of including HDL-2b and HDL-3 in an explainable boosting machine model for multiclass classification of coronary artery stenosis severity in acute myocardial infarction patients. European Heart Journal - Digital Health 2024 View
  6. Gao Y, Myers S, Chen S, Dligach D, Miller T, Bitterman D, Chen G, Mayampurath A, Churpek M, Afshar M. Uncertainty estimation in diagnosis generation from large language models: next-word probability is not pre-test probability. JAMIA Open 2024;8(1) View