Artificial neural networks for prediction of recurrent venous thromboembolism

Artificial neural networks for prediction of recurrent venous thromboembolism

T. D. Martins, J. M. Annichino-Bizzacchic, A. V. C. Romano, R. Maciel Filho

ARTIGO

Inglês

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...

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Fechado

Artificial neural networks for prediction of recurrent venous thromboembolism

T. D. Martins, J. M. Annichino-Bizzacchic, A. V. C. Romano, R. Maciel Filho


										

Artificial neural networks for prediction of recurrent venous thromboembolism

T. D. Martins, J. M. Annichino-Bizzacchic, A. V. C. Romano, R. Maciel Filho

    Fontes

    International journal of medical informatics

    Vol. 141 (Sep., 2020), n. art. 104221