Literature Retrieval for Precision Medicine with Neural Matching and Faceted Summarization.
Journal
Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing
Titre abrégé: Proc Conf Empir Methods Nat Lang Process
Pays: United States
ID NLM: 101669294
Informations de publication
Date de publication:
Nov 2020
Nov 2020
Historique:
entrez:
20
9
2021
pubmed:
21
9
2021
medline:
21
9
2021
Statut:
ppublish
Résumé
Information retrieval (IR) for precision medicine (PM) often involves looking for multiple pieces of evidence that characterize a patient case. This typically includes at least the name of a condition and a genetic variation that applies to the patient. Other factors such as demographic attributes, comorbidities, and social determinants may also be pertinent. As such, the retrieval problem is often formulated as
Identifiants
pubmed: 34541588
doi: 10.18653/v1/2020.findings-emnlp.304
pmc: PMC8444997
mid: NIHMS1732171
doi:
Types de publication
Journal Article
Langues
eng
Pagination
3389-3399Subventions
Organisme : NCI NIH HHS
ID : P30 CA177558
Pays : United States
Références
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pubmed: 31164204