Cargando…
Contribution of temporal data to predictive performance in 30-day readmission of morbidly obese patients
BACKGROUND: Reduction of readmissions after discharge represents an important challenge for many hospitals and has attracted the interest of many researchers in the past few years. Most of the studies in this field focus on building cross-sectional predictive models that aim to predict the occurrenc...
Autores principales: | Povalej Brzan, Petra, Obradovic, Zoran, Stiglic, Gregor |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5407280/ https://www.ncbi.nlm.nih.gov/pubmed/28462037 http://dx.doi.org/10.7717/peerj.3230 |
Ejemplares similares
-
Comprehensible Predictive Modeling Using Regularized Logistic Regression and Comorbidity Based Features
por: Stiglic, Gregor, et al.
Publicado: (2015) -
Risk Factors, Trends, and Preventive Measures for 30-Day Unplanned Diabetic Ketoacidosis Readmissions in the Pediatric Population
por: Vasireddy, Deepa, et al.
Publicado: (2021) -
Prevalence and temporal pattern of hospital readmissions for patients with type I and type II diabetes
por: Liu, Xiaoqian, et al.
Publicado: (2015) -
Maximizing Interpretability and Cost-Effectiveness of Surgical Site Infection (SSI) Predictive Models Using Feature-Specific Regularized Logistic Regression on Preoperative Temporal Data
por: Kocbek, Primoz, et al.
Publicado: (2019) -
ODP233 Predicting Hospital Readmission for Patients with Diabetes: A Comparison of Models
por: Rubin, Daniel, et al.
Publicado: (2022)