Bibliographic Details
| Title: |
Development and Validation of a Machine Learning Model to Predict Oral Anticoagulant Use in Stroke From Prothrombin Time-International Normalized Ratio and Activated Partial Thromboplastin Time. |
| Authors: |
Fujiwara G; Department of Neurosurgery Kyoto Prefectural University of Medicine Kyoto Japan.; Department of Neurosurgery Japanese Red Cross Kyoto Daini Hospital Kyoto Japan., Nagakane Y; Department of Neurology Japanese Red Cross Kyoto Daini Hospital Kyoto Japan., Murakami N; Department of Neurosurgery Japanese Red Cross Kyoto Daini Hospital Kyoto Japan., Suehiro E; Department of Neurosurgery International University of Health and Welfare School of Medicine Chiba Japan., Hashimoto N; Department of Neurosurgery Kyoto Prefectural University of Medicine Kyoto Japan., Yoshimura S; Department of Cerebrovascular Medicine National Cerebral and Cardiovascular Center Suita Japan., Toyoda K; Department of Cerebrovascular Medicine National Cerebral and Cardiovascular Center Suita Japan., Okada Y; Department of Preventive Services, School of Public Health Kyoto University Kyoto Japan.; Pre-hospital and Emergency Research Centre, Health Services Research and Population Health Duke-NUS Medical School, National University of Singapore Singapore. |
| Source: |
Journal of the American Heart Association [J Am Heart Assoc] 2026 Apr 07; Vol. 15 (7), pp. e047432. Date of Electronic Publication: 2026 Mar 18. |
| Publication Type: |
Journal Article; Validation Study; Multicenter Study |
| Journal Info: |
Publisher: Wiley-Blackwell Country of Publication: England NLM ID: 101580524 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2047-9980 (Electronic) Linking ISSN: 20479980 NLM ISO Abbreviation: J Am Heart Assoc Subsets: MEDLINE |
| Database: |
MEDLINE Ultimate |
