Work

Trends and opportunities in computable clinical phenotyping: A scoping review

Year: 2023

Type: review

Study design: Systematic Review

Source: Journal of Biomedical Informatics

DOI: 10.1016/j.jbi.2023.104335

Authors: Ting He, Anas Belouali, Jessica Patricoski, Harold Lehmann, Robert Ball, Valsamo Anagnostou, Kory Kreimeyer, Taxiarchis Botsis

Institutions: Johns Hopkins University, Johns Hopkins Medicine, Sidney Kimmel Comprehensive Cancer Center, United States Food and Drug Administration, Center for Drug Evaluation and Research, Johns Hopkins Hospital

Language: English

Topic: Machine Learning in Healthcare

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: U.S. Department of Health and Human Services, U.S. Food and Drug Administration, U.S. National Library of Medicine

Awards: G7873662415, Johns Hopkins Training Program in Biomedical Informatics and Data Science

OpenAlex ID: W4327569215

FWCI: 0.639

Cites: 95

Cited by: 40

Related to: 10