Machine learning for medical applications Bolón Canedo,V en Beatriz Remeseiro López en Alonso Betanzos,A en Aurélio Campilho en 2018-01-06T16:36:11Z 2018-01-06T16:36:11Z 2016 en
dc.description.abstract Machine learning has been well applied and recognized as an effective tool to handle a wide range of real situations, including medical applications. In this scenario, it can help to alleviate problems typically suffered by researchers in this field, such as saving time for practitioners and providing unbiased results. This tutorial is concerned with the use of machine learning techniques to solve different medical problems. We provide a survey of recent methods developed or applied to this context, together with a review of novel contributions to the ESANN 2016 special session on Machine learning for medical applications. en
dc.language eng en
dc.relation 6485 en
dc.relation 6071 en
dc.rights info:eu-repo/semantics/embargoedAccess en
dc.title Machine learning for medical applications en
dc.type conferenceObject en
dc.type Publication en
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