Titre :

Study of online health discussion fora for the detection of medication misusesÉlise misuses´misusesÉlise

Auteur(s) :

Bigeard, Elise [Auteur]
Savoirs, Textes, Langage (STL) - UMR 8163 [STL]
Thiessard, Frantz [Auteur]
Grabar, Natalia [Auteur]
Savoirs, Textes, Langage (STL) - UMR 8163 [STL]

Titre de la manifestation scientifique :

ICHI 2018 :The Sixth IEEE International Conference on Healthcare Informatics

Ville :

New-York

Pays :

Etats-Unis d'Amérique

Date de début de la manifestation scientifique :

2018-06-04

Mot(s)-clé(s) en anglais :

Natural Language Processing
Supervised learning
Machine learning
Text mining
Biomedical informatics
Discussion forums
Internet
Knowledge discovery
Prototypes

Discipline(s) HAL :

Sciences de l'Homme et Société/Sciences de l'information et de la communication
Informatique [cs]/Traitement du texte et du document
Informatique [cs]/Web
Sciences du Vivant [q-bio]

Résumé en anglais : [en]

Misuses occur when patients do not respect prescriptions and commit actions which can lead to harmful results. Even if such situations are dangerous, patients do not inform medical doctors about such events. To obtain some ...
Lire la suite >Misuses occur when patients do not respect prescriptions and commit actions which can lead to harmful results. Even if such situations are dangerous, patients do not inform medical doctors about such events. To obtain some information on misuses, it becomes necessary to study other sources of information. We propose to concentrate on discussion fora. The purpose of our work is to explore health fora with machine learning methods and to identify messages where users describe or mention drug misuses. Our approach detects the mesuses with up to 0.773 F-measure. This approach can help in routine detection of misuses and to provide material exploitable by health professionals.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Projet ANR :

Maladies, Interactions Alimentation-Médicaments

Collections :

• Savoirs, Textes, Langage (STL) - UMR 8163

Source :

Harvested from HAL