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Probabilistic Multi-Label Learning for Medical Data
Art der Publikation: Artikel
Zitat:
Zeitschrift: IEEE Intelligent Informatics Bulletin
Band: 15
Nummer: 1
Jahr: 2014
Monat: Dezember
Seiten: 26--27
ISSN: 1727-6004
URL: http://www.comp.hkbu.edu.hk/~i...
Abriss: 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 involving coexistence of diseases. We use a public clinical database for the evaluation of our proposed algorithm. Preliminary results show the benefits of our approach.
Schlagworte:
Autoren Zufferey, Damien
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