Gastroenterology Meets Machine Learning: Status Quo and Quo Vadis.
Journal
Advances in bioinformatics
ISSN: 1687-8027
Titre abrégé: Adv Bioinformatics
Pays: Egypt
ID NLM: 101515444
Informations de publication
Date de publication:
2019
2019
Historique:
received:
09
12
2018
accepted:
24
02
2019
entrez:
9
5
2019
pubmed:
9
5
2019
medline:
9
5
2019
Statut:
epublish
Résumé
Machine learning has undergone a transition phase from being a pure statistical tool to being one of the main drivers of modern medicine. In gastroenterology, this technology is motivating a growing number of studies that rely on these innovative methods to deal with critical issues related to this practice. Hence, in the light of the burgeoning research on the use of machine learning in gastroenterology, a systematic review of the literature is timely. In this work, we present the results gleaned through a systematic review of prominent gastroenterology literature using machine learning techniques. Based on the analysis of 88 journal articles, we delimit the scope of application, we discuss current limitations including bias, lack of transparency, accountability, and data availability, and we put forward future avenues.
Identifiants
pubmed: 31065266
doi: 10.1155/2019/1870975
pmc: PMC6466966
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
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