The Impact of Software Instrumentation on Clinical Evaluations

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Novobilski:2006:ANNIE,

• author = "Andrew J. Novobilski and Francis M. Fesmire and Rachel Palmiero",
• title = "The Impact of Software Instrumentation on Clinical Evaluations",
• booktitle = "ANNIE 2006, Intelligent Engineering Systems through Artificial Neural Networks",
• year = "2006",
• editor = "Cihan H. Dagli and Anna L. Buczak and David L. Enke and Mark Embrechts and Okan Ersoy",
• volume = "16",
• address = "St. Louis, MO, USA",
• month = nov # " 5-8",
• keywords = "genetic algorithms, genetic programming, Bayesian Networks, datamining",
• isbn13 = "0791802566",
• DOI = "doi:10.1115/1.802566.paper37",
• 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.",
• notes = "Bio-Informatics and Computational Biology",

}

Genetic Programming entries for Andrew J Novobilski Francis M Fesmire Rachel Palmiero

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