Major areas of interest of artificial intelligence research applied to health care administrative data: a scoping review.

ABSTRACT: Introduction: The ongoing collection of large medical data has created conditions for application of artificial intelligence (AI) in research. This scoping review aimed to identify major areas of interest of AI applied to health care administrative data. Methods: The search was performed in seven databases: Medline, Embase, CINAHL, Web of science, IEEE, ICM digital library, and Compendex. We included articles published between January 2001 and March 2021, that described research with AI applied to medical diagnostics, pharmacotherapy, and health outcomes data. We screened the full text content and used natural language processing to automatically extract health areas of interest, principal AI methods, and names of medications. Results: Out of 14,864 articles, 343 were

SUBMITTER: Bukhtiyarova O 

PROVIDER: S-EPMC9340156 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature