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Machine Learning Methods to Address Confounding in Sepsis Mortality Rate

Year: 2023

Type: conference-abstract

Source: American Journal of Respiratory and Critical Care Medicine

DOI: 10.1164/ajrccm-conference.2023.207.1_meetingabstracts.a5934

Authors: T. Basu, D. Teng, N. Bhomia, M. O’Malley, E. McLaughlin, E. Munroe, P.D. Bozyk, J. Blamoun, K. Kocher, J. Horowitz, P. Posa, S. Flanders, H.C. Prescott

Institutions: University of Michigan, Beaumont Health, Corewell Health William Beaumont University Hospital, MidMichigan Medical Center - Midland, Michigan Medicine

Language: English

Topic: Sepsis Diagnosis and Treatment

Subfield: Critical Care and Intensive Care Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4367608549

Cites:

Cited by: 1

Related to: 10