The Impact of Software Instrumentation on Clinical Evaluations
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{Novobilski:2006:ANNIE,
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author = "Andrew J. Novobilski and Francis M. Fesmire and
Rachel Palmiero",
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title = "The Impact of Software Instrumentation on Clinical
Evaluations",
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booktitle = "ANNIE 2006, Intelligent Engineering Systems through
Artificial Neural Networks",
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year = "2006",
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editor = "Cihan H. Dagli and Anna L. Buczak and
David L. Enke and Mark Embrechts and Okan Ersoy",
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volume = "16",
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address = "St. Louis, MO, USA",
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month = nov # " 5-8",
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keywords = "genetic algorithms, genetic programming, Bayesian
Networks, datamining",
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isbn13 = "0791802566",
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DOI = "doi:10.1115/1.802566.paper37",
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abstract = "Advances in datamining have allowed for the
development a new class of diagnostic tools for use by
clinical practitioners in critical care situations.
These tools enhance the clinician's diagnostic
expertise by providing additional information based on
a specific case being evaluated. This paper presents a
comparison of the diagnostic capabilities in three
situations; the clinician's assessment, the diagnostic
tool's assessment, and the assessment made by combining
the clinician's diagnosis with the information
contained in tool. The tool, a Bayesian Network
generated using a Genetic Algorithm based search
framework, used a dataset created from initial case
data collected in an emergency room setting. The
results indicate that while the clinician out performs
the tool in ruling out ACS, there is a significant
improvement overall when the clinician's assessment is
added to the tool's input.",
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notes = "Bio-Informatics and Computational Biology",
- }
Genetic Programming entries for
Andrew J Novobilski
Francis M Fesmire
Rachel Palmiero
Citations