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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.
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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  Data: 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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  Data: <searchLink fieldCode="AU" term="%22Pfaff+ER%22">Pfaff ER</searchLink>; Department of Medicine, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Girvin+AT%22">Girvin AT</searchLink>; Palantir Technologies, Denver, Colorado, USA.<br /><searchLink fieldCode="AU" term="%22Crosskey+M%22">Crosskey M</searchLink>; CoVar Applied Technologies, Durham, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Gangireddy+S%22">Gangireddy S</searchLink>; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.<br /><searchLink fieldCode="AU" term="%22Master+H%22">Master H</searchLink>; Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA.<br /><searchLink fieldCode="AU" term="%22Wei+WQ%22">Wei WQ</searchLink>; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.<br /><searchLink fieldCode="AU" term="%22Kerchberger+VE%22">Kerchberger VE</searchLink>; Department of Medicine, Division of Allergy, Pulmonary & Critical Care Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.<br /><searchLink fieldCode="AU" term="%22Weiner+M%22">Weiner M</searchLink>; Department of Medicine, Weill Cornell Medicine, New York, USA.<br /><searchLink fieldCode="AU" term="%22Harris+PA%22">Harris PA</searchLink>; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.<br /><searchLink fieldCode="AU" term="%22Basford+M%22">Basford M</searchLink>; Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA.<br /><searchLink fieldCode="AU" term="%22Lunt+C%22">Lunt C</searchLink>; National Institutes of Health, Bethesda, Maryland, USA.<br /><searchLink fieldCode="AU" term="%22Chute+CG%22">Chute CG</searchLink>; Johns Hopkins Schools of Medicine, Public Health, and Nursing. Baltimore, Maryland, USA.<br /><searchLink fieldCode="AU" term="%22Moffitt+RA%22">Moffitt RA</searchLink>; Departments of Hematology and Medical Oncology and Biomedical Informatics, Emory University, Atlanta, Georgia, USA.<br /><searchLink fieldCode="AU" term="%22Haendel+M%22">Haendel M</searchLink>; Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Denver, Colorado, USA.
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  Data: <searchLink fieldCode="JN" term="%229430800%22">Journal of the American Medical Informatics Association : JAMIA</searchLink> [J Am Med Inform Assoc] 2023 Jun 20; Vol. 30 (7), pp. 1305-1312.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9430800 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1527-974X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210675027%22">10675027 </searchLink><i>NLM ISO Abbreviation: </i>J Am Med Inform Assoc <i>Subsets: </i>MEDLINE
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              Text: 2023 Jun 20
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