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BioMed Research International
Volume 2019, Article ID 8532892, 9 pages
https://doi.org/10.1155/2019/8532892
Research Article

Machine Learning Readmission Risk Modeling: A Pediatric Case Study

1Research Center on Business Intelligence, University of Chile, Beauchef 851, Of. 502, Santiago, Chile
2Hospital Dr. Exequiel González Cortés, Gran Avenida 3300, San Miguel, Santiago, Chile
3Computation Intelligence Group, Basque University (UPV/EHU) P. Manuel Lardizabal 1, 20018 San Sebastian, Spain
4ACPySS, San Sebastián, Spain

Correspondence should be addressed to Manuel Graña; sue.uhe@anarg.leunam

Received 21 December 2018; Revised 8 March 2019; Accepted 1 April 2019; Published 15 April 2019

Academic Editor: Xudong Huang

Copyright © 2019 Patricio Wolff et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Patricio Wolff, Manuel Graña, Sebastián A. Ríos, and Maria Begoña Yarza, “Machine Learning Readmission Risk Modeling: A Pediatric Case Study,” BioMed Research International, vol. 2019, Article ID 8532892, 9 pages, 2019. https://doi.org/10.1155/2019/8532892.