pone.0288233.s001.pdf (118.24 kB)
Independent variables 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, vital sign, and demographic variables are outlined in S1 File. A summary of medication data is provided, further elaborated in S2 File.
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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 %.
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