WebSep 4, 2024 · Multivariable Logistic Regression Models for Predicting Readmission Risk. To our knowledge, the first model specifically designed to predict the risk of all-cause 30 … WebMar 26, 2024 · The early prediction will reduce the risk of hospital readmission. Several machine learning classifiers, such as Logistic Regression (LR), Decision Tree (DT), and Random Forest (RF), were applied.
Readmission and Comprehension of Diabetes Education at Disc…
WebOct 1, 2016 · Objective: To develop and validate a tool to predict the risk of all-cause readmission within 30 days (30-d readmission) among hospitalized patients with diabetes. Methods: A cohort of 44,203 discharges was retrospectively selected from the electronic records of adult patients with diabetes hospitalized at an urban academic medical … Webvariability (CV), and BG range were investigated. A Diabetes Early Readmission Risk Indicator (DERRI) score was calcu-lated for each patient and correlated with ER visits and hospital readmissions within 30 and 90 days following the index hospitalization.10 24 Study participants were contacted at 30 and 90 days cbea joinville
External Validation of the Diabetes Early Re-Admission Risk Indicator
WebMay 1, 2024 · People with diabetes are at an increased risk of hospital readmission. This article represents the first review of its kind, aiming to identify, in a systematic way, risk … WebJan 16, 2024 · Age-associated physiological changes and extensive drug treatment including use of potentially inappropriate medications (PIMs) pose a significant risk of drug–drug interactions and adverse drug events among elderly people with dementia. This study aimed at analysing the effects of clinical pharmacists’ interventions on use of PIMs, … WebDec 10, 2024 · Building from a model previously generated at Temple and known as the Diabetes Early Readmission Risk Indicator (DERRI TM), the researchers aim to develop improved models that accurately and automatically predict 30-day readmission risk among patients with diabetes, based on electronic health record (EHR) data. cbf 1000 tuulilasi storm