Abstract/Details

Modeling critically ill patients with data envelopment analysis


2001 2001

Other formats: Order a copy

Abstract (summary)

Critically ill patients suffering from either closed head trauma or septic shock were studied retrospectively to see if the mathematical programming technique of Data Envelopment Analysis (DEA) could be used to develop models to assess an individual patient's progress in an Intensive Care Unit (ICU). Unlike current logistic regression models that focus on the mean values for groups of patients, the DEA models evaluate each patient individually by calculating an “efficiency” score based on a patient's ability to maximize output for a given set of physiologic inputs. Patients with high efficiency scores were found to have a better chance of making a full recovery than similarly injured patients that were inefficient, even when the latter had more “normal” values for their variables. New hybrid models that combine DEA with discriminant analysis and correspondence analysis were also developed and their potential role in the ICU is explored. DEA models in the ICU need further study before implementation but appear to offer physicians a deeper understanding of their patients and a better opportunity to improve patient outcome than presently used models based on regression.

Indexing (details)


Subject
Operations research;
Industrial engineering;
Health care;
Illnesses;
Data envelopment analysis
Classification
0796: Operations research
0546: Industrial engineering
0769: Health care
Identifier / keyword
Health and environmental sciences, Applied sciences, Critically ill, Data envelopment analysis, Head trauma, Intensive care monitoring
Title
Modeling critically ill patients with data envelopment analysis
Author
Nathanson, Brian Harris
Number of pages
150
Publication year
2001
Degree date
2001
School code
0118
Source
DAI-B 62/04, Dissertation Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
ISBN
9780493224855, 0493224858
Advisor
Giglio, Richard J.
University/institution
University of Massachusetts Amherst
University location
United States -- Massachusetts
Degree
Ph.D.
Source type
Dissertations & Theses
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
3012170
ProQuest document ID
230796672
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
http://search.proquest.com/docview/230796672
Access the complete full text

You can get the full text of this document if it is part of your institution's ProQuest subscription.

Try one of the following:

  • Connect to ProQuest through your library network and search for the document from there.
  • Request the document from your library.
  • Go to the ProQuest login page and enter a ProQuest or My Research username / password.