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Open Access
Peer-reviewed
Research Article
Predicting clinical outcomes of SARS-CoV-2 infection during the Omicron wave using machine learning
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Steven Cogill,
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing
Affiliations VA Palo Alto Cooperative Studies Program Coordinating Center, Palo Alto, CA, United States of America, Big Data-Scientist Training Enhancement Program at VA Palo Alto Health Care System, Palo Alto, CA, United States of America
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Shriram Nallamshetty,
Roles Conceptualization, Methodology, Project administration, Supervision, Visualization, Writing – original draft, Writing – review & editing
Affiliation VA Palo Alto Cooperative Studies Program Coordinating Center, Palo Alto, CA, United States of America
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Natalie Fullenkamp,
Roles Project administration, Supervision, Writing – review & editing
Affiliation VA Palo Alto Cooperative Studies Program Coordinating Center, Palo Alto, CA, United States of America
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Kent Heberer,
Roles Data curation, Formal analysis, Methodology, Software, Visualization, Writing – review & editing
Affiliations VA Palo Alto Cooperative Studies Program Coordinating Center, Palo Alto, CA, United States of America, Big Data-Scientist Training Enhancement Program at VA Palo Alto Health Care System, Palo Alto, CA, United States of America
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Julie Lynch,
Roles Funding acquisition, Resources, Supervision, Writing – review & editing
Affiliations VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT, United States of America, Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, United States of America
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Kyung Min Lee,
Roles Funding acquisition, Resources, Writing – review & editing
Affiliation VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT, United States of America
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Mihaela Aslan,
Roles Funding acquisition, Project administration, Resources, Supervision, Visualization, Writing – review & editing
Affiliations VA Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, CT, United States of America, Department of Medicine, Yale University School of Medicine, New Haven, CT, United States of America
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Mei-Chiung Shih,
Roles Conceptualization, Funding acquisition, Methodology, Project administration, Resources, Supervision, Visualization, Writing – review & editing
Affiliations VA Palo Alto Cooperative Studies Program Coordinating Center, Palo Alto, CA, United States of America, Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, United States of America
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Jennifer S. Lee
Roles Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – review & editing
* E-mail: Jennifer.Lee23@va.gov
Affiliations VA Palo Alto Cooperative Studies Program Coordinating Center, Palo Alto, CA, United States of America, Big Data-Scientist Training Enhancement Program at VA Palo Alto Health Care System, Palo Alto, CA, United States of America, Division of Endocrinology, Department of Medicine, Gerontology, and Metabolism, and by Courtesy, of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, United States of America
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Predicting clinical outcomes of SARS-CoV-2 infection during the Omicron wave using machine learning
- Steven Cogill,
- Shriram Nallamshetty,
- Natalie Fullenkamp,
- Kent Heberer,
- Julie Lynch,
- Kyung Min Lee,
- Mihaela Aslan,
- Mei-Chiung Shih,
- Jennifer S. Lee
- Published: April 25, 2024
- https://doi.org/10.1371/journal.pone.0290221