Building interpretable predictive models for pediatric hospital readmission using Tree-Lasso logistic regression

Author:

Jovanovic Milos,Radovanovic Sandro,Vukicevic MilanORCID,Van Poucke Sven,Delibasic Boris

Funder

SNSF Joint Research project

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference29 articles.

1. Prediction modeling using EHR data: challenges, strategies, and a comparison of machine learning approaches;Wu;Med Care,2010

2. Unplanned readmissions to acute care from a pediatric postacute care hospital: incidence, clinical reasons, and predictive factors;O’Brien;Hosp Pediatr,2015

3. Readmission classification using stacked regularized logistic regression models;Stiglic,2014

4. Pediatric readmissions as a hospital quality measure;Srivastava;JAMA,2013

5. Predicting hospital readmission risk for COPD using EHR information;Behara,2013

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