APA (7th ed.) Citation

G, F., Y, N., N, M., E, S., N, H., S, Y., . . . Y, O. (2026). 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. Journal of the American Heart Association, 15(7), e047432. https://doi.org/10.1161/JAHA.125.047432

Chicago Style (17th ed.) Citation

G, Fujiwara, Nagakane Y, Murakami N, Suehiro E, Hashimoto N, Yoshimura S, Toyoda K, and Okada Y. "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." Journal of the American Heart Association 15, no. 7 (2026): e047432. https://doi.org/10.1161/JAHA.125.047432.

MLA (9th ed.) Citation

G, Fujiwara, et al. "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." Journal of the American Heart Association, vol. 15, no. 7, 2026, p. e047432, https://doi.org/10.1161/JAHA.125.047432.