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spelling sg-nus-scholar.10635-1835932023-09-21T08:12:36Z Predicting 30-Day Readmissions: Performance of the LACE Index Compared with a Regression Model among General Medicine Patients in Singapore Low, L.L Lee, K.H Hock Ong, M.E Wang, S Tan, S.Y Thumboo, J Liu, N DUKE-NUS MEDICAL SCHOOL C reactive protein creatinine serum albumin sodium adult albumin blood level Article Charlson Comorbidity Index comparative study controlled study creatinine blood level emergency ward female general practice health care utilization hospital readmission human ICD-10 internal medicine lace index length of stay leukocyte count logistic regression analysis machine learning major clinical study male middle aged prediction regression analysis Singapore sodium blood level statistical analysis Canada comorbidity hospital discharge hospital emergency service hospital readmission risk factor statistical model statistics and numerical data theoretical model time factor Canada Comorbidity Emergency Service, Hospital Female Humans Length of Stay Logistic Models Male Middle Aged Models, Theoretical Patient Discharge Patient Readmission Risk Factors Singapore Time Factors 10.1155/2015/169870 BioMed Research International 2015 169870 2020-11-17T08:52:00Z 2020-11-17T08:52:00Z 2015 Article Low, L.L, Lee, K.H, Hock Ong, M.E, Wang, S, Tan, S.Y, Thumboo, J, Liu, N (2015). Predicting 30-Day Readmissions: Performance of the LACE Index Compared with a Regression Model among General Medicine Patients in Singapore. BioMed Research International 2015 : 169870. ScholarBank@NUS Repository. https://doi.org/10.1155/2015/169870 23146133 https://scholarbank.nus.edu.sg/handle/10635/183593 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Unpaywall 20201031
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic C reactive protein
creatinine
serum albumin
sodium
adult
albumin blood level
Article
Charlson Comorbidity Index
comparative study
controlled study
creatinine blood level
emergency ward
female
general practice
health care utilization
hospital readmission
human
ICD-10
internal medicine
lace index
length of stay
leukocyte count
logistic regression analysis
machine learning
major clinical study
male
middle aged
prediction
regression analysis
Singapore
sodium blood level
statistical analysis
Canada
comorbidity
hospital discharge
hospital emergency service
hospital readmission
risk factor
statistical model
statistics and numerical data
theoretical model
time factor
Canada
Comorbidity
Emergency Service, Hospital
Female
Humans
Length of Stay
Logistic Models
Male
Middle Aged
Models, Theoretical
Patient Discharge
Patient Readmission
Risk Factors
Singapore
Time Factors
spellingShingle C reactive protein
creatinine
serum albumin
sodium
adult
albumin blood level
Article
Charlson Comorbidity Index
comparative study
controlled study
creatinine blood level
emergency ward
female
general practice
health care utilization
hospital readmission
human
ICD-10
internal medicine
lace index
length of stay
leukocyte count
logistic regression analysis
machine learning
major clinical study
male
middle aged
prediction
regression analysis
Singapore
sodium blood level
statistical analysis
Canada
comorbidity
hospital discharge
hospital emergency service
hospital readmission
risk factor
statistical model
statistics and numerical data
theoretical model
time factor
Canada
Comorbidity
Emergency Service, Hospital
Female
Humans
Length of Stay
Logistic Models
Male
Middle Aged
Models, Theoretical
Patient Discharge
Patient Readmission
Risk Factors
Singapore
Time Factors
Low, L.L
Lee, K.H
Hock Ong, M.E
Wang, S
Tan, S.Y
Thumboo, J
Liu, N
Predicting 30-Day Readmissions: Performance of the LACE Index Compared with a Regression Model among General Medicine Patients in Singapore
description 10.1155/2015/169870
author2 DUKE-NUS MEDICAL SCHOOL
author_facet DUKE-NUS MEDICAL SCHOOL
Low, L.L
Lee, K.H
Hock Ong, M.E
Wang, S
Tan, S.Y
Thumboo, J
Liu, N
format Article
author Low, L.L
Lee, K.H
Hock Ong, M.E
Wang, S
Tan, S.Y
Thumboo, J
Liu, N
author_sort Low, L.L
title Predicting 30-Day Readmissions: Performance of the LACE Index Compared with a Regression Model among General Medicine Patients in Singapore
title_short Predicting 30-Day Readmissions: Performance of the LACE Index Compared with a Regression Model among General Medicine Patients in Singapore
title_full Predicting 30-Day Readmissions: Performance of the LACE Index Compared with a Regression Model among General Medicine Patients in Singapore
title_fullStr Predicting 30-Day Readmissions: Performance of the LACE Index Compared with a Regression Model among General Medicine Patients in Singapore
title_full_unstemmed Predicting 30-Day Readmissions: Performance of the LACE Index Compared with a Regression Model among General Medicine Patients in Singapore
title_sort predicting 30-day readmissions: performance of the lace index compared with a regression model among general medicine patients in singapore
publishDate 2020
url https://scholarbank.nus.edu.sg/handle/10635/183593
_version_ 1779153092339564544