Data analytics for the sustainable use of resources in hospitals: Predicting the length of stay for patients with chronic diseases-Reference-Cited by-同舟云学术

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Data analytics for the sustainable use of resources in hospitals: Predicting the length of stay for patients with chronic diseases

Published:2020-02 Issue: Volume: Page:103282
ISSN:0378-7206
Container-title:Information & Management
language:en
Short-container-title:Information & Management

Author:

Zolbanin Hamed M.,Davazdahemami Behrooz,Delen Dursun,Zadeh Amir Hassan

Funder

Center for Health Systems Innovation

Cerner Corporation

Publisher

Elsevier BV

Subject

Information Systems and Management,Information Systems,Management Information Systems

Reference82 articles.

1. How Predicting Patient Length of Stay Enables Hospitals to Save Millions;Becker’s Healthcare,2018

2. Economic benefit of a 1-day reduction in hospital stay for community-acquired pneumonia (CAP);Kozma;J. Med. Econ.,2010

3. Predictive Analytics Help Hospital Predict Patient Length-of-Stay;Intel,2015

4. The use of artificial neural networks to stratify the length of stay of cardiac patients based on preoperative and initial postoperative factors;Rowan;Artif. Intell. Med.,2007

5. A mixed-ensemble model for hospital readmission;Turgeman;Artif. Intell. Med.,2016

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