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Prediction model for major bleeding in anticoagulated patients with cancer-associated venous thromboembolism using machine learning and natural language processing.
Muñoz Martín AJ, Lecumberri R, Souto JC, Obispo B, Sanchez A, Aparicio J, Aguayo C, Gutierrez D, García Palomo A, Benavent D, Taberna M, Viñuela-Benéitez MC, Arumi D, Hernández-Presa MÁ. Muñoz Martín AJ, et al. Among authors: hernandez presa ma. Clin Transl Oncol. 2024 Sep 14. doi: 10.1007/s12094-024-03586-2. Online ahead of print. Clin Transl Oncol. 2024. PMID: 39276289
Development of a predictive model of venous thromboembolism recurrence in anticoagulated cancer patients using machine learning.
Muñoz AJ, Souto JC, Lecumberri R, Obispo B, Sanchez A, Aparicio J, Aguayo C, Gutierrez D, Palomo AG, Fanjul V, Del Rio-Bermudez C, Viñuela-Benéitez MC, Hernández-Presa MÁ. Muñoz AJ, et al. Among authors: hernandez presa ma. Thromb Res. 2023 Aug;228:181-188. doi: 10.1016/j.thromres.2023.06.015. Epub 2023 Jun 16. Thromb Res. 2023. PMID: 37348318
Correction: Prediction model for major bleeding in anticoagulated patients with cancer-associated venous thromboembolism using machine learning and natural language processing.
Muñoz Martín AJ, Lecumberri R, Souto JC, Obispo B, Sanchez A, Aparicio J, Aguayo C, Gutierrez D, García Palomo A, Benavent D, Taberna M, Viñuela-Benéitez MC, Arumi D, Hernández-Presa MÁ. Muñoz Martín AJ, et al. Among authors: hernandez presa ma. Clin Transl Oncol. 2024 Nov 19. doi: 10.1007/s12094-024-03780-2. Online ahead of print. Clin Transl Oncol. 2024. PMID: 39560835 No abstract available.
18 results