Machine Learning Models for Predicting Bleeding Risk in Anticoagulated Patients with Atrial Fibrillation and Venous Thromboembolism: A Comparative Evidence Synthesis.
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| Title: | Machine Learning Models for Predicting Bleeding Risk in Anticoagulated Patients with Atrial Fibrillation and Venous Thromboembolism: A Comparative Evidence Synthesis. |
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| Authors: | Teo, Winnie Z. Y.1,2,3,4 (AUTHOR), Wong, Maggie Wing Yin1,2,3,4 (AUTHOR), Lim, Fang Jin2,3 (AUTHOR), Ong, Emmeliene Su-Min2,3,4 (AUTHOR), Barr Kumarakulasinghe, Nesaretnam1,5 (AUTHOR), Yap, Eng Soo1,3,5 (AUTHOR) eng_soo_yap@nuhs.edu.sg |
| Source: | Journal of Clinical Medicine. Mar2026, Vol. 15 Issue 6, p2370. 14p. |
| Database: | Academic Search Ultimate |
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| ISSN: | 20770383 |
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| DOI: | 10.3390/jcm15062370 |
