Challenges and opportunities for public health made possible by advances in natural language processing.
NLP
artificial intelligence
machine learning
natural language processing
public health
Journal
Canada communicable disease report = Releve des maladies transmissibles au Canada
ISSN: 1188-4169
Titre abrégé: Can Commun Dis Rep
Pays: Canada
ID NLM: 9303729
Informations de publication
Date de publication:
04 Jun 2020
04 Jun 2020
Historique:
entrez:
17
7
2020
pubmed:
17
7
2020
medline:
17
7
2020
Statut:
epublish
Résumé
Natural language processing (NLP) is a subfield of artificial intelligence devoted to understanding and generation of language. The recent advances in NLP technologies are enabling rapid analysis of vast amounts of text, thereby creating opportunities for health research and evidence-informed decision making. The analysis and data extraction from scientific literature, technical reports, health records, social media, surveys, registries and other documents can support core public health functions including the enhancement of existing surveillance systems (e.g. through faster identification of diseases and risk factors/at-risk populations), disease prevention strategies (e.g. through more efficient evaluation of the safety and effectiveness of interventions) and health promotion efforts (e.g. by providing the ability to obtain expert-level answers to any health related question). NLP is emerging as an important tool that can assist public health authorities in decreasing the burden of health inequality/inequity in the population. The purpose of this paper is to provide some notable examples of both the potential applications and challenges of NLP use in public health.
Identifiants
pubmed: 32673380
doi: 10.14745/ccdr.v46i06a02
pii: 460602
pmc: PMC7343054
doi:
Types de publication
Journal Article
Langues
eng
Pagination
161-168Déclaration de conflit d'intérêts
Conflict of interest: None.
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