Teo, W. Z. Y., Wong, M. W. Y., Lim, F. J., Ong, E. S., Barr Kumarakulasinghe, N., & Yap, E. S. (2026). Machine Learning Models for Predicting Bleeding Risk in Anticoagulated Patients with Atrial Fibrillation and Venous Thromboembolism: A Comparative Evidence Synthesis. Journal of Clinical Medicine, 15(6), 2370. https://doi.org/10.3390/jcm15062370
Chicago Style (17th ed.) CitationTeo, Winnie Z. Y., Maggie Wing Yin Wong, Fang Jin Lim, Emmeliene Su-Min Ong, Nesaretnam Barr Kumarakulasinghe, and Eng Soo Yap. "Machine Learning Models for Predicting Bleeding Risk in Anticoagulated Patients with Atrial Fibrillation and Venous Thromboembolism: A Comparative Evidence Synthesis." Journal of Clinical Medicine 15, no. 6 (2026): 2370. https://doi.org/10.3390/jcm15062370.
MLA (9th ed.) CitationTeo, Winnie Z. Y., et al. "Machine Learning Models for Predicting Bleeding Risk in Anticoagulated Patients with Atrial Fibrillation and Venous Thromboembolism: A Comparative Evidence Synthesis." Journal of Clinical Medicine, vol. 15, no. 6, 2026, p. 2370, https://doi.org/10.3390/jcm15062370.