Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study.
Journal:
BMJ (Clinical research ed.)
PMID:
35177406
Abstract
OBJECTIVE: To create and validate a simple and transferable machine learning model from electronic health record data to accurately predict clinical deterioration in patients with covid-19 across institutions, through use of a novel paradigm for model development and code sharing.
Authors
Keywords
Adolescent
Adult
Aged
Aged, 80 and over
Area Under Curve
Clinical Decision Rules
Clinical Deterioration
COVID-19
Electronic Health Records
Female
Hospitalization
Hospitals
Humans
Linear Models
Machine Learning
Male
Middle Aged
Predictive Value of Tests
Prognosis
Retrospective Studies
Risk Assessment
ROC Curve
SARS-CoV-2
Young Adult