Skip to Main content Skip to Navigation
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.
Complete list of metadatas

Cited literature [5 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01967586
Contributor : Raphaël Gazzotti <>
Submitted on : Monday, December 31, 2018 - 7:16:16 PM
Last modification on : Thursday, March 5, 2020 - 12:20:46 PM
Document(s) archivé(s) le : Monday, April 1, 2019 - 12:53:08 PM

File

EGC_évaluation_des_améliorat...
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01967586, version 1

Citation

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⟩

Share

Metrics

Record views

314

Files downloads

164