Medical Outcome Prediction for Intensive Care Unit Patients
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @Article{Ludwig:2010:IJCMAM,
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author = "Simone A. Ludwig and Stefanie Roos and
Monique Frize and Nicole Yu",
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title = "Medical Outcome Prediction for Intensive Care Unit
Patients",
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journal = "International Journal of Computational Models and
Algorithms in Medicine (IJCMAM)",
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year = "2010",
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volume = "1",
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number = "4",
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pages = "19--30",
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keywords = "genetic algorithms, genetic programming, Intelligent
Technologies",
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ISSN = "1947-3133",
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URL = "http://www.irma-international.org/article/medical-outcome-prediction-intensive-care/51668/",
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DOI = "doi:10.4018/jcmam.2010100102",
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size = "12",
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abstract = "The rate of people dying from medical errors in
hospitals each year is very high. Errors that
frequently occur during the course of providing health
care are adverse drug events and improper transfusions,
surgical injuries and wrong-site surgery, suicides,
restraint-related injuries or death, falls, burns,
pressure ulcers, and mistaken patient identities.
Medical decision support systems play an increasingly
important role in medical practice. By assisting
physicians in making clinical decisions, medical
decision support systems improve the quality of medical
care. Two approaches have been investigated for the
prediction of medical outcomes: hours of ventilation
and the mortality rate in the adult intensive care
unit. The first approach is based on neural networks
with the weight-elimination algorithm, and the second
is based on genetic programming. Both approaches are
compared to commonly used machine learning algorithms.
Results show that both algorithms developed score well
for the outcomes selected",
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notes = "Simone A. Ludwig (North Dakota State University, USA),
Stefanie Roos (Darmstadt University, Germany), Monique
Frize (Carleton University, Canada), and Nicole Yu
(Carleton University, Canada)",
- }
Genetic Programming entries for
Simone A Ludwig
Stefanie Roos
Monique Frize
Nicole J Yu
Citations