Probabilistic multi-label learning for medical data

Zufferey, Damien ( University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis))

We report on a probabilistic approach for the classification of chronically ill patients. We rely on multi-label learning for its ability to represent in a natural way classification problems involvingcoexistenceofdiseases.Weuseapublicclinicaldatabase for the evaluation of our proposed algorithm. Preliminary results show the benefits of our approach.


Type d'article:
scientifique
Faculté:
Economie et Services
Ecole:
HEG-VS
Institut:
Institut Informatique de gestion
Classification:
Informatique
Date:
2014
Publié dans
IEEE Intelligent informatics bulletin
Numérotation (vol. no.):
December 2014, vol. 15, no. 1, pp. 26-27
ISSN:
1727-6004
Ressource(s) externe(s):
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 Notice créée le 2015-11-19, modifiée le 2018-12-11

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