Global Trend on Machine Learning in
Journal
Global health, epidemiology and genomics
ISSN: 2054-4200
Titre abrégé: Glob Health Epidemiol Genom
Pays: England
ID NLM: 101703450
Informations de publication
Date de publication:
2023
2023
Historique:
received:
30
12
2022
revised:
29
04
2023
accepted:
06
08
2023
medline:
22
8
2023
pubmed:
21
8
2023
entrez:
21
8
2023
Statut:
epublish
Résumé
This study aims to create a science map, provide structural analysis, investigate evolution, and identify new trends in All A total of 17,413 articles were reviewed and analyzed, with descriptive characteristics of the
Identifiants
pubmed: 37600599
doi: 10.1155/2023/8856736
pmc: PMC10439832
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
8856736Informations de copyright
Copyright © 2023 Omid Eslami et al.
Déclaration de conflit d'intérêts
The authors declare that they have no conflicts of interest.
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