Predicting 30-day readmissions in an Asian population: Building a predictive model by incorporating markers of hospitalization severity

Predicting 30-day readmissions in an Asian population: Building a predictive model by incorporating markers of hospitalization severity

10.1371/journal.pone.0167413

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Bibliographic Details
Main Authors:	Low L.L., Liu N., Wang S., Thumboo J., Ong M.E.H., Lee K.H.
Other Authors:	DUKE-NUS MEDICAL SCHOOL
Format:	Article
Published:	Public Library of Science 2020
Subjects:	furosemide adult aged area under the curve Article Asian Charlson Comorbidity Index clinical outcome cohort analysis comorbidity controlled study demography diagnostic test accuracy study disease severity emergency ward female health care utilization hemodialysis hospital admission hospital discharge hospital patient hospital readmission hospitalization human intermethod comparison LACE index length of stay major clinical study male patient acuity prediction predictive value receiver operating characteristic retrospective study risk assessment sensitivity and specificity Singapore social determinants of health tertiary care center validation study hospital emergency service middle aged risk factor statistical model theoretical model very elderly Adult Aged Aged, 80 and over Comorbidity Emergency Service, Hospital Hospitalization Humans Length of Stay Logistic Models Middle Aged Models, Theoretical Patient Discharge Patient Readmission Retrospective Studies Risk Factors ROC Curve
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/166031
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Institution:	National University of Singapore

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