An explainable machine learning approach for hospital emergency department visits forecasting using continuous training and multi-model regression

Author:

Peláez-Rodríguez C.ORCID,Torres-López R.ORCID,Pérez-Aracil J.ORCID,López-Laguna N.ORCID,Sánchez-Rodríguez S.,Salcedo-Sanz S.

Funder

Espana Ministerio de Ciencia e Innovacion

Ministerio de Ciencia e Innovación

Comunidad de Madrid

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference78 articles.

1. Overcrowding in emergency department: an international issue;Di Somma;Intern. Emerg. Med.,2015

2. Us emergency department performance on wait time and length of visit;Horwitz;Ann. Emerg. Med.,2010

3. Development of a cost-optimization model to reduce bottlenecks: a health service case study;Lau;Expert Syst.,2018

4. A ‘durable opportunity’: ED overcrowding in the ACA ERA;Boerner;Phys. Leadersh. J.,2016

5. Access block and emergency department overcrowding;Forero,2011

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