INTEGRATING PHENOMENOLOGICAL MODELING AND MACHINE LEARNING FOR PATIENT-SPECIFIC PREDICTION OF RECURRENT VENOUS THROMBOEMBOLISM
Background: The prediction of Recurrent Venous Thromboembolism (RVTE) plays a crucial role in enhancing the prognosis of patients with coagulation disorders. In recent times, there has been a notable surge in studies focusing on developing scores based on machine learning models that utilize clinica...
محفوظ في:
| المؤلفون الرئيسيون: | , , , , , |
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| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
Elsevier
2023-10-01
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| سلاسل: | Hematology, Transfusion and Cell Therapy |
| الوصول للمادة أونلاين: | http://www.sciencedirect.com/science/article/pii/S253113792301088X |
| الوسوم: |
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