Machine Learning Operations in Health Care: A Scoping Review.
Ontology highlight
ABSTRACT: The use of machine learning tools in health care is rapidly expanding. However, the processes that support these tools in deployment, that is, machine learning operations, are still emerging. The purpose of this work was not only to provide a comprehensive synthesis of existing literature in the field but also to identify gaps and offer insights for adoption in clinical practice. A scoping review was conducted using the MEDLINE, PubMed, Google Scholar, Embase, and Scopus databases. We used MeSH and non-MeSH search terms to identify pertinent articles, with the authors performing 2 screening phases and assigning relevance scores: 148 English language articles most salient to the review were eligible for inclusion; 98 offered the most unique information and these were supplemented by 50 addi
SUBMITTER: Rajagopal A
PROVIDER: S-EPMC11975983 | biostudies-literature | 2024 Sep
REPOSITORIES: biostudies-literature
ACCESS DATA