Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: Model development and multisite external validation study

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. Design Retrospectiv...

Full description

Bibliographic Details
Main Authors:	Ayanian, J.Z (Author), Blumberg, S. (Author), Donnelly, J.P (Author), Dutta, S. (Author), Gong, J. (Author), Kamran, F. (Author), Li, B.Y (Author), Liu, X. (Author), McEvoy, D.S (Author), Medford, R.J (Author), Nallamothu, B.K (Author), Otles, E. (Author), Saleh, S.N (Author), Shenoy, E.S (Author), Singh, K. (Author), Sjoding, M.W (Author), Tang, S. (Author), Valley, T.S (Author), West, L.R (Author), Wiens, J. (Author)
Format:	Article
Language:	English
Published:	BMJ Publishing Group 2022
Subjects:	accuracy adolescent Adolescent adult Adult age distribution aged Aged Aged, 80 and over Area Under Curve area under the curve Article artificial ventilation calibration Clinical Decision Rules Clinical Deterioration clinical outcome clinical trial cohort analysis confidence interval controlled study coronavirus disease 2019 COVID-19 deterioration diagnosis diagnostic test accuracy study disease severity electronic health record Electronic Health Records ethnicity external validity female Female high flow nasal cannula therapy high risk patient hospital hospital admission hospital discharge hospitalization Hospitalization Hospitals human Humans hypertensive factor in-hospital mortality internal validity length of stay Linear Models low risk patient machine learning Machine Learning major clinical study male Male Michigan Critical Care Utilization and Risk Evaluation System middle aged Middle Aged multicenter study outcome assessment patient identification predictive model predictive value Predictive Value of Tests procedures prognosis Prognosis race difference receiver operating characteristic respiratory distress Retrospective Studies retrospective study risk algorithm risk assessment Risk Assessment ROC Curve SARS-CoV-2 sensitivity and specificity sex difference statistical model United States validation study very elderly young adult Young Adult
Online Access:	View Fulltext in Publisher

Internet

View Fulltext in Publisher

Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: Model development and multisite external validation study

Internet

Similar Items