De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the All of Us data repository.
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| Title: | De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the All of Us data repository. |
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| Authors: | Pfaff ER; Department of Medicine, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, USA., Girvin AT; Palantir Technologies, Denver, Colorado, USA., Crosskey M; CoVar Applied Technologies, Durham, North Carolina, USA., Gangireddy S; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA., Master H; Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA., Wei WQ; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA., Kerchberger VE; Department of Medicine, Division of Allergy, Pulmonary & Critical Care Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA., Weiner M; Department of Medicine, Weill Cornell Medicine, New York, USA., Harris PA; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA., Basford M; Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA., Lunt C; National Institutes of Health, Bethesda, Maryland, USA., Chute CG; Johns Hopkins Schools of Medicine, Public Health, and Nursing. Baltimore, Maryland, USA., Moffitt RA; Departments of Hematology and Medical Oncology and Biomedical Informatics, Emory University, Atlanta, Georgia, USA., Haendel M; Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Denver, Colorado, USA. |
| Corporate Authors: | N3C and RECOVER Consortia |
| Source: | Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2023 Jun 20; Vol. 30 (7), pp. 1305-1312. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 9430800 Publication Model: Print Cited Medium: Internet ISSN: 1527-974X (Electronic) Linking ISSN: 10675027 NLM ISO Abbreviation: J Am Med Inform Assoc Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1527-974X |
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| DOI: | 10.1093/jamia/ocad077 |
