Predicting 30-Day Readmissions: Performance of the LACE Index Compared with a Regression Model among General Medicine Patients in Singapore

• Main Authors: Low, L.L, Lee, K.H, Hock Ong, M.E, Wang, S, Tan, S.Y, Thumboo, J, Liu, N
• Other Authors: DUKE-NUS MEDICAL SCHOOL
• Format: Article
• Published: 2020
• Subjects: 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; risk factor; statistical model; statistics and numerical data; theoretical model; time factor; Comorbidity; Emergency Service, Hospital; Female; Humans; Length of Stay; Logistic Models; Male; Middle Aged; Models, Theoretical; Patient Discharge; Patient Readmission; Risk Factors; Time Factors
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/183593
• Institution: National University of Singapore

10.1155/2015/169870