e.g. mhealth
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This can function to further elucidate specific clinical subphenotypes of patients and better understand the interactions of complex variables. Prior clustering methods have successfully identified subphenotypes of COVID-19 patients in the intensive care unit, disparities in Black kidney transplant recipients’ outcomes, and clusters of patients with high mortality in sepsis [14-16].
JMIR Aging 2023;6:e51844
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Recognizing different COVID-19 subphenotypes—the division of populations of patients into more meaningful subgroups driven by clinical features [6,7]—and their severity characterization may assist clinicians during the clinical course, research efforts, and the surveillance system.
JMIR Public Health Surveill 2022;8(3):e30032
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