A deep attention model to forecast the Length Of Stay and the in-hospital mortality right on admission from ICD codes and demographic data
- 1 June 2021
- journal article
- research article
- Published by Elsevier BV in Journal of Biomedical Informatics
- Vol. 118, 103778
- https://doi.org/10.1016/j.jbi.2021.103778
Abstract
No abstract availableKeywords
Funding Information
- National Research Foundation of Korea
This publication has 28 references indexed in Scilit:
- Minor Postoperative Increases of Creatinine Are Associated with Higher Mortality and Longer Hospital Length of Stay in Surgical PatientsAnesthesiology, 2015
- On the Properties of Neural Machine Translation: Encoder–Decoder ApproachesPublished by Association for Computational Linguistics (ACL) ,2014
- Bagging, Boosting and Ensemble MethodsPublished by Springer Science and Business Media LLC ,2011
- A predictive model for the early identification of patients at risk for a prolonged intensive care unit length of stayBMC Medical Informatics and Decision Making, 2010
- Extremely randomized treesMachine Learning, 2006
- Stochastic gradient boostingComputational Statistics & Data Analysis, 2002
- Classification by pairwise couplingThe Annals of Statistics, 1998
- Risk factors affecting hospital length of stay in patients with odontogenic maxillofacial infectionsJournal of Oral and Maxillofacial Surgery, 1996
- FACTORS AFFECTING INAPPROPRIATE HOSPITAL STAYInternational Journal for Quality in Health Care, 1991
- A simplified acute physiology score for ICU patientsCritical Care Medicine, 1984