Emilio Alba-Conejo

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The prediction of clinical outcome of patients after breast cancer surgery plays an important role in medical tasks such as diagnosis and treatment planning. Different prognostic factors for breast cancer outcome appear to be significant predictors for overall survival, but probably form part of a bigger picture comprising many factors. Survival estimations(More)
The prediction of clinical outcome of patients after breast cancer surgery plays an important role in medical tasks such as diagnosis and treatment planning. Survival estimations are currently performed by clinicians using non-numerical techniques. Artificial neural networks are shown to be a powerful tool for analyzing data sets where there are complicated(More)
Resumen La predicción de recidiva en pacientes que han sido operados de cáncer de mama juega un papel muy importante en tareas médicas como el diagnostico y la planificación del tratamiento que hay que realizarle al mismo. En la actualidad, los expertos médicos están llevando a cabo estas tareas usando técnicas no numéricas. Las redes neuronales(More)
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