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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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

id	sg-nus-scholar.10635-166031
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spelling	sg-nus-scholar.10635-1660312024-04-24T06:52:00Z Predicting 30-day readmissions in an Asian population: Building a predictive model by incorporating markers of hospitalization severity Low L.L. Liu N. Wang S. Thumboo J. Ong M.E.H. Lee K.H. DUKE-NUS MEDICAL SCHOOL PAEDIATRICS 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 Singapore 10.1371/journal.pone.0167413 PLoS ONE 11 12 e0167413 2020-03-27T06:29:31Z 2020-03-27T06:29:31Z 2016 Article Low L.L., Liu N., Wang S., Thumboo J., Ong M.E.H., Lee K.H. (2016). Predicting 30-day readmissions in an Asian population: Building a predictive model by incorporating markers of hospitalization severity. PLoS ONE 11 (12) : e0167413. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0167413 19326203 https://scholarbank.nus.edu.sg/handle/10635/166031 Public Library of Science Unpaywall 20200320
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	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 Singapore
spellingShingle	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 Singapore Low L.L. Liu N. Wang S. Thumboo J. Ong M.E.H. Lee K.H. Predicting 30-day readmissions in an Asian population: Building a predictive model by incorporating markers of hospitalization severity
description	10.1371/journal.pone.0167413
author2	DUKE-NUS MEDICAL SCHOOL
author_facet	DUKE-NUS MEDICAL SCHOOL Low L.L. Liu N. Wang S. Thumboo J. Ong M.E.H. Lee K.H.
format	Article
author	Low L.L. Liu N. Wang S. Thumboo J. Ong M.E.H. Lee K.H.
author_sort	Low L.L.
title	Predicting 30-day readmissions in an Asian population: Building a predictive model by incorporating markers of hospitalization severity
title_short	Predicting 30-day readmissions in an Asian population: Building a predictive model by incorporating markers of hospitalization severity
title_full	Predicting 30-day readmissions in an Asian population: Building a predictive model by incorporating markers of hospitalization severity
title_fullStr	Predicting 30-day readmissions in an Asian population: Building a predictive model by incorporating markers of hospitalization severity
title_full_unstemmed	Predicting 30-day readmissions in an Asian population: Building a predictive model by incorporating markers of hospitalization severity
title_sort	predicting 30-day readmissions in an asian population: building a predictive model by incorporating markers of hospitalization severity
publisher	Public Library of Science
publishDate	2020
url	https://scholarbank.nus.edu.sg/handle/10635/166031
_version_	1800913935150350336

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

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