Accurate prediction of unplanned readmissions allows healthcare systems to adopt preventive measures, reducing these occurrences. Creating a model that ...
Jan 21, 2024 · In this study, we evaluated the efficacy of the discharge Acute Physiology and Chronic Health Evaluation (APACHE) II score in predicting post- ...
May 14, 2023 · This work introduces CARE-30 (Causal Analysis based Readmission Estimator within a 30-day time frame), a novel causal inference-based model, ...
Article "CARE-30: A Causally Driven Multi-Modal Model for Enhanced 30-Day ICU Readmission Predictions" Detailed information of the J-GLOBAL is an ...
CARE-30: A Causally Driven Multi-Modal Model for Enhanced 30-Day ICU Readmission Predictions. Linna Wang, Leyi Zhao, Zhanpeng Luo, Xuan Wang, Ziliang Feng ...
We develop a dynamic model of learning about worker ability in a competitive labor market. The model produces three testable implications regarding wage ...
The model achieved a C-statistic (AUC) of 0.72 in predicting readmission. While the above study uses a wide range of features and complex models to predict ...
Missing: ICU | Show results with:ICU
Predictive modeling for COVID-19 readmission risk using machine ...
www.ncbi.nlm.nih.gov › PMC9122247
May 20, 2022 · presented a predictive model to predict 30-day readmission in COVID-19 patients based on the simplified hospital score method for reducing ...
May 1, 2023 · This was an interesting trial comparing a multimodal transitional care intervention to usual care among patients at higher risk of avoidable ...
Missing: Driven ICU
A novel hybrid deep learning model that integrates clinical notes information and patient network topological structure to improve 30-day hospital ...