pone.0288233.s003.pdf (189.09 kB)
Details of imputation for Institutional Criticality Index-dynamic models.
journal contribution
posted on 2024-01-29, 18:28 authored by Anita K. Patel, Eduardo Trujillo-Rivera, James M. Chamberlain, Hiroki Morizono, Murray M. PollackAll laboratory and vital sign data values imputed in development and validation of the Criticality Index are included in S3 File.
(PDF)
History
Usage metrics
Categories
Keywords
predict future needpediatric inpatients admittedmachine learning modeldynamic criticality indexage 68 months906 &# 8211754 &# 82116 &# 82116 %- 81493 &# 8211262 &# 82112 %- 76157 ), 4715 &# 8211predicting care locationspredict future care24 &# 821118 &# 821112 &# 8211th st site test datasetspecific data priormodels &# 8217developed using singleassess future care3 %) transferred0 %) transferredsingle site performancesite datamodels developedinpatient care24 hours18 hours12 hoursspecific ciindependent singlexlink ">site ciroutine carerecall curvemodels appliedmodelling methodsmodeling methodsmay benefitmain outcomelocation predictionsjanuary 1institutional datasetsinstitutional databaseindividual institutionsidentical variablesicu careexternal evaluation95 specificity95 sensitivity30 hours0 %.
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC