Open AccessDevelopment and Structure of an Accurate Machine Learning Algorithm to Predict Inpatient Mortality and Hospice Outcomes in the Coronavirus Disease 2019 Era
Author(s) -
Stephen Chi,
Aixia Guo,
Kevin M. Heard,
Seunghwan Kim,
Randi E. Foraker,
Patrick White,
Nathan Moore
Publication year - 2022
Publication title -
medical care
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.632
H-Index - 178
eISSN - 1537-1948
pISSN - 0025-7079
DOI - 10.1097/mlr.0000000000001699
Subject(s) - medicine , intensive care unit , emergency medicine , confidence interval , referral , pandemic , medical diagnosis , covid-19 , receiver operating characteristic , disease , family medicine , infectious disease (medical specialty) , pathology
The coronavirus disease 2019 (COVID-19) pandemic has challenged the accuracy and racial biases present in traditional mortality scores. An accurate prognostic model that can be applied to hospitalized patients irrespective of race or COVID-19 status may benefit patient care.