Unveiling sub-populations in critical care settings: a real-world data approach in COVID-19

By leveraging RWD and advanced clustering techniques, the study provides insights into the heterogeneity of COVID-19 presentations. The findings support the development of classification models that can inform more individualized and effective treatment plans, improving patient outcomes in the future.

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Publication Details

Journal
Frontiers in Public Health
Published
2025-05-15
DOI
https://doi.org/10.3389/fpubh.2025.1544904
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Unveiling sub-populations in critical care settings: a real-world data approach in COVID-19

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Frontiers in Public Health
COVID-19 epidemiological studies
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Unveiling sub-populations in critical care settings: a real-world data approach in COVID-19

Jagdeep T. Podichetty, Philippe J. Guérin, Sreekanth Cheruku, Wesley R. Anderson, Rishad Khan, Andrew P. Michelson, Vishakha K. Kumar, Pam Dasher, Smith F. Heavner, Kenneth W. Dodd, Ewy A. Mathé, Nicholas M. Mohr, Aneesh K. Mehta, Danielle M. Boyce, Namrata Patil, Andrew J Williams, R. Bruce Gould
article en

Abstract

By leveraging RWD and advanced clustering techniques, the study provides insights into the heterogeneity of COVID-19 presentations. The findings support the development of classification models that can inform more individualized and effective treatment plans, improving patient outcomes in the future.

Frontiers in Public HealthVol. 13
Tufts University (US), Brigham and Women's Hospital (US), Centers for Disease Control and Prevention (US), Johns Hopkins University (US), Emory University (US), University of South Carolina (US), Washington University in St. Louis (US), Johns Hopkins Medicine (US), Society of Critical Care Medicine (US), Critical Path Institute (US), Advocate Health Care (US), Centers for Disease Control and Prevention (UG), The Centers (US), University of Iowa Health Care (US), Centers for Disease Control and Prevention (KE), National Center for Advancing Translational Sciences (US), Infectious Diseases Data Observatory (GB), Clemson University (US), The University of Texas Southwestern Medical Center (US)
U.S. Department of Health and Human Services, National Institutes of Health, National Center for Advancing Translational Sciences
Openalex Percentile: Top 88%
COVID-19 epidemiological studies
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