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Clinical Characterization and Prediction of Clinical Severity of SARS-CoV-2 Infection Among US Adults Using Data From the US National COVID Cohort Collaborative.

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Title: Clinical Characterization and Prediction of Clinical Severity of SARS-CoV-2 Infection Among US Adults Using Data From the US National COVID Cohort Collaborative.
Authors: Bennett TD; Section of Informatics and Data Science, Department of Pediatrics, University of Colorado School of Medicine, University of Colorado, Aurora., Moffitt RA; Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York., Hajagos JG; Stony Brook University, Stony Brook, New York., Amor B; Palantir Technologies, Denver, Colorado., Anand A; Stony Brook University, Stony Brook, New York., Bissell MM; Palantir Technologies, Denver, Colorado., Bradwell KR; Palantir Technologies, Denver, Colorado., Bremer C; Stony Brook University, Stony Brook, New York., Byrd JB; Department of Internal Medicine, The University of Michigan at Ann Arbor, Ann Arbor., Denham A; Department of Public Health Sciences, University of Rochester Medical Center, Rochester, New York., DeWitt PE; Section of Informatics and Data Science, Department of Pediatrics, University of Colorado School of Medicine, University of Colorado, Aurora., Gabriel D; Institute for Clinical and Translational Research, Johns Hopkins University School of Medicine, Baltimore, Maryland., Garibaldi BT; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland., Girvin AT; Palantir Technologies, Denver, Colorado., Guinney J; Sage Bionetworks, Seattle, Washington., Hill EL; Department of Public Health Sciences, University of Rochester Medical Center, Rochester, New York., Hong SS; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland., Jimenez H; Stony Brook University, Stony Brook, New York., Kavuluru R; Division of Biomedical Informatics, Department of Internal Medicine, University of Kentucky, Lexington., Kostka K; Real World Solutions, IQVIA, Cambridge, Massachusetts.; Observational Health Data Sciences and Informatics, New York, New York., Lehmann HP; Division of Health Science Informatics, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland., Levitt E; Department of Orthopaedic Surgery, University of Alabama at Birmingham, Birmingham., Mallipattu SK; Stony Brook University, Stony Brook, New York., Manna A; Palantir Technologies, Denver, Colorado., McMurry JA; Translational and Integrative Sciences Center, Oregon State University, Corvallis., Morris M; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania., Muschelli J; Department of Biostatistics, Johns Hopkins University School of Medicine, Baltimore, Maryland., Neumann AJ; Translational and Integrative Sciences Center, Oregon State University, Corvallis., Palchuk MB; TriNetX, Cambridge, Massachusetts., Pfaff ER; North Carolina Translational and Clinical Sciences Institute, University of North Carolina at Chapel Hill, Chapel Hill., Qian Z; Department of biomedical informatics, Stony Brook University, Stony Brook, New York., Qureshi N; Palantir Technologies, Denver, Colorado., Russell S; Section of Informatics and Data Science, Department of Pediatrics, University of Colorado School of Medicine, University of Colorado, Aurora., Spratt H; Department of Preventive Medicine and Public Health, University of Texas Medical Branch, Galveston., Walden A; Sage Bionetworks, Seattle, Washington.; Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland., Williams AE; Tufts Medical Center Clinical and Translational Science Institute, Tufts Medical Center, Boston, Massachusetts., Wooldridge JT; Stony Brook University, Stony Brook, New York., Yoo YJ; Stony Brook University, Stony Brook, New York., Zhang XT; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland., Zhu RL; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland., Austin CP; National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, Maryland., Saltz JH; Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York., Gersing KR; National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, Maryland., Haendel MA; TriNetX, Cambridge, Massachusetts.; Center for Health AI, University of Colorado, Aurora., Chute CG; Department of Health Policy and Management, Johns Hopkins University School of Medicine, Baltimore, Maryland.; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.; Department of Nursing, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Corporate Authors: National COVID Cohort Collaborative (N3C) Consortium
Source: JAMA network open [JAMA Netw Open] 2021 Jul 01; Vol. 4 (7), pp. e2116901. Date of Electronic Publication: 2021 Jul 01.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Validation Study
Journal Info: Publisher: American Medical Association Country of Publication: United States NLM ID: 101729235 Publication Model: Electronic Cited Medium: Internet ISSN: 2574-3805 (Electronic) Linking ISSN: 25743805 NLM ISO Abbreviation: JAMA Netw Open Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Clinical Characterization and Prediction of Clinical Severity of SARS-CoV-2 Infection Among US Adults Using Data From the US National COVID Cohort Collaborative.
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