Artificial neural networks for prediction of recurrent venous thromboembolism.
Background: Recurrent venous thromboembolism (RVTE) is a multifactorial disease with occurrence rates which vary from 13 % to 25 % in 5 years after the initial event. Once a patient the first thrombotic event, the probability of recurrence should be determined, as well as the most adequate anticoagu...
| Publicado en: | International Journal of Medical Informatics Vol. 141 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Elsevier B.V.
Sep2020
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| Acceso en línea: | Ver este registro en EBSCOhost |