Predicting 30-Day Readmissions: Performance of the LACE Index Compared with a Regression Model among General Medicine Patients in Singapore
10.1155/2015/169870
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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 |
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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 |
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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 |
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10.1155/2015/169870 |
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DUKE-NUS MEDICAL SCHOOL |
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DUKE-NUS MEDICAL SCHOOL Low, L.L Lee, K.H Hock Ong, M.E Wang, S Tan, S.Y Thumboo, J Liu, N |
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Article |
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Low, L.L Lee, K.H Hock Ong, M.E Wang, S Tan, S.Y Thumboo, J Liu, N |
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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 |
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2020 |
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https://scholarbank.nus.edu.sg/handle/10635/183593 |
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1779153092339564544 |