Answering PICO Clinical Questions: a Semantic Graph-Based Approach - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2015

Answering PICO Clinical Questions: a Semantic Graph-Based Approach

Résumé

In this paper, we tackle the issue related to the retrieval of the best evidence that fits with a PICO (Population, Intervention, Comparison and Outcome) question. We propose a new document ranking algorithm that relies on semantic based query expansion bounded by the local search context to better discard irrelevant documents. Experiments using a standard dataset including 423 PICO questions and more than 1,2 million of documents, show that our aproach is promising.
Fichier principal
Vignette du fichier
znaidi_15380.pdf (128.41 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01363309 , version 1 (09-09-2016)

Identifiants

  • HAL Id : hal-01363309 , version 1
  • OATAO : 15380

Citer

Eya Znaidi, Lynda Tamine, Chiraz Latiri. Answering PICO Clinical Questions: a Semantic Graph-Based Approach. 15th Conference on Artificial Intelligence in Medicine (AIME 15), Jun 2015, Pavia, Italy. pp. 232-237. ⟨hal-01363309⟩
44 Consultations
254 Téléchargements

Partager

Gmail Facebook X LinkedIn More