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.


Article Type:
scientifique
Faculty:
Economie et Services
School:
HEG-VS
Institute:
Institut Informatique de gestion
Subject(s):
Informatique
Date:
2014
Published in
IEEE Intelligent informatics bulletin
Numeration (vol. no.):
December 2014, vol. 15, no. 1, pp. 26-27
ISSN:
1727-6004
External resources:
Appears in Collection:

Note: The status of this file is: restricted


 Record created 2015-11-19, last modified 2019-02-11

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