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Cited by 20Artificial Intelligence in HealthcareMachine Learning in HealthcareNeural Networks and Applications

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Improving Health Care Organizational Management Through Neural Network Learning

Goss, Ernest Preston, Vozikis, George S.·2002·Health Care Management Science
DOI 10.1023/a:1019760901191
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Abstract

In order to provide more ethical and objective measures of the likelihood of Intensive Care Unit (ICU) recovery, hospitals have turned increasingly to decision support system software packages, such as APACHE. However, these packages derive estimates from parametric techniques, such as Binary Logit Regression (BLR) in the APACHE case, and require the developer to specify in advance the functional relationships among variables in the model. Recent rapid advancements in computer software and hardware technology have encouraged researchers to use more computationally intensive, non-parametric techniques such as Neural Networks (NNs), which are purported to be better than parametric models in terms of prediction capabilities. The present study applies both methodologies to a sample of ICU patients and shows that the NN technique predicts mortality rates more correctly than BLR, and offers a promising non-parametric alternative to the parametric methodologies in hospital settings.

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Metadata

Authors
Goss, E. P., & Vozikis, G. S.
Affiliations
  • Creighton University (US)
  • University of Tulsa (US)
Corresponding author
Goss, Ernest Preston
ORCID
Goss, Ernest Preston
Venue
Health Care Management Science
Publisher
Springer Science and Business Media LLC
Published
2002-08
Volume
5
Issue
3
Pages
221-227
ISSN
  • 1386-9620 (ISSN-L)
  • 1572-9389
DOI
10.1023/a:1019760901191
OpenAlex
W1567710900
Cited by
20
References
0
Citations by year
2024: 1 · 2023: 2 · 2021: 3 · 2019: 2 · 2017: 1 · 2014: 1 · 2013: 1 · 2012: 1
FWCI
2.64
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • Health Care Management Science (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
  • Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning in Healthcare
  • Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
Keywords
artificial neural networks, Apache, decision support system, hospital management
MeSH terms
Cost Control, Decision Support Systems, Management, Diagnosis-Related Groups, Hospital Administration, Humans, Intensive Care Units, Massachusetts, Probability, Severity of Illness Index, Software, Models, Statistical, Survival Analysis, Neural Networks, Computer, Efficiency, Organizational, Risk Assessment, APACHE

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