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Conference papers

Évaluation des améliorations de prédiction d'hospitalisation par l'ajout de connaissances métier aux dossiers médicaux

Abstract : The knowledge available through electronic medical records (EMR) themselves remains limited by the fact the features used by a machine learning algorithms from a text alone do not contain all the implicit information known by a domain expert. We propose and evaluate the ontological augmentations of features extracted from textual information from EMRs on several machine learning algorithms to predict hospitalization.
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https://hal.archives-ouvertes.fr/hal-01967586
Contributor : Raphaël Gazzotti Connect in order to contact the contributor
Submitted on : Monday, December 31, 2018 - 7:16:16 PM
Last modification on : Wednesday, February 2, 2022 - 2:16:06 PM
Long-term archiving on: : Monday, April 1, 2019 - 12:53:08 PM

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  • HAL Id : hal-01967586, version 1

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Raphaël Gazzotti, Catherine Faron Zucker, Fabien Gandon, Virginie Lacroix-Hugues, David Darmon. Évaluation des améliorations de prédiction d'hospitalisation par l'ajout de connaissances métier aux dossiers médicaux. EGC 2019 - 19ème Conférence Francophone sur l'Extraction et Gestion des connaissances, Jan 2019, Metz, France. ⟨hal-01967586⟩

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