Titre :

Supervised Learning for the ICD-10 Coding of French Clinical Narratives

Auteur(s) :

Dalloux, Clément [Auteur]
Creating and exploiting explicit links between multimedia fragments [LinkMedia]
Claveau, Vincent [Auteur]
Institut de Recherche en Informatique et Systèmes Aléatoires [IRISA]
Creating and exploiting explicit links between multimedia fragments [LinkMedia]
Cuggia, Marc [Auteur]
Laboratoire Traitement du Signal et de l'Image [LTSI]
Bouzillé, Guillaume [Auteur]
Laboratoire Traitement du Signal et de l'Image [LTSI]
Grabar, Natalia [Auteur]
Savoirs, Textes, Langage (STL) - UMR 8163 [STL]

Titre de la manifestation scientifique :

MIE 2020 - Medical Informatics Europe conference - Digital Personalized Health and Medicine

Ville :

Geneva

Pays :

Suisse

Date de début de la manifestation scientifique :

2020-04-28

Date de publication :

2020-04-28

Mot(s)-clé(s) en anglais :

ICD-10 coding
clinical NLP
clinical narratives
French

Discipline(s) HAL :

Informatique [cs]/Informatique et langage [cs.CL]
Informatique [cs]/Intelligence artificielle [cs.AI]
Informatique [cs]/Recherche d'information [cs.IR]

Résumé en anglais : [en]

Automatic detection of ICD-10 codes in clinical documents has become a necessity. In this article, after a brief reminder of the existing work, we present a corpus of French clinical narratives annotated with the ICD-10 ...
Lire la suite >Automatic detection of ICD-10 codes in clinical documents has become a necessity. In this article, after a brief reminder of the existing work, we present a corpus of French clinical narratives annotated with the ICD-10 codes. Then, we propose automatic methods based on neural network approaches for the automatic detection of the ICD-10 codes. The results show that we need 1) more examples per class given the number of classes to assign, and 2) a better word/concept vector representation of documents in order to accurately assign codes.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

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

Source :

Harvested from HAL