Rapid identification and phenotyping of nonalcoholic fatty liver disease patients using a machine‐based approach in diverse healthcare systems

Basile, A. O., Verma, A., Tang, L. A., Serper, M., Scanga, A., Farrell, A., Destin, B., Carr, R. M., Anyanwu‐Ofili, A., Rajagopal, G., Krikhely, A., Bessler, M., Reilly, M. P., Ritchie, M. D., Tatonetti, N. P., & Wattacheril, J. (2024). Rapid identification and phenotyping of nonalcoholic fatty liver disease patients using a machine‐based approach in diverse healthcare systems. Clinical and Translational Science, 18(1). Portico. https://doi.org/10.1111/cts.70105
Authors:
Anna O. Basile
Anurag Verma
Leigh Anne Tang
Marina Serper
Andrew Scanga
Ava Farrell
Brittney Destin
Rotonya M. Carr
Anuli Anyanwu‐Ofili
G. Rajagopal
Abraham Krikhely
Marc Bessler
Muredach P. Reilly
Marylyn D. Ritchie
Nicholas P. Tatonetti
Julia Wattacheril
Affiliated Authors:
Anna O. Basile
Ava Farrell
Brittney Destin
Abraham Krikhely
Marc Bessler
Muredach P. Reilly
Nicholas P. Tatonetti
Julia Wattacheril
Columbia Affiliation:
Subjects:
Non-alcoholic Fatty Liver Disease (MeSH)
Electronic Health Records (MeSH)
Phenotype (MeSH)
Algorithms (MeSH)
Epidemiology and Management of NAFLD (OpenAlex Topic)
Hepatitis C Infection and Treatment (OpenAlex Topic)
Genomic Studies and Association Analyses (OpenAlex Topic)
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Publication Type:
Article
Unique ID:
10.1111/cts.70105
PMID:
39739635
DOI:
10.1111/cts.70105
Journal:
Clinical and Translational Science
Publication Date:
Data Source:
OpenAlex
Source Link:
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