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Medical Diagnosis Prediction using Genetic Programming
Stamford, Connecticut June 18-June 20
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.1999.78127112th IEEE Symposium on Computer-Based ...
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Vili Podgorelec, Peter Kokol, Jernej Zavrsnik, "Medical Diagnosis Prediction using Genetic Programming," Computer-Based Medical Systems, IEEE Symposium on, pp. 202, 12th IEEE Symposium on Computer-Based Medical Systems (CBMS'99), 1999.
 
 
BibTex
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@article{ 10.1109/CBMS.1999.781271,
author = {Vili Podgorelec and Peter Kokol and Jernej Zavrsnik},
title = {Medical Diagnosis Prediction using Genetic Programming},
journal ={Computer-Based Medical Systems, IEEE Symposium on},
volume = {0},
year = {1999},
issn = {1063-7125},
pages = {202},
doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.1999.781271},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer-Based Medical Systems, IEEE Symposium on
TI - Medical Diagnosis Prediction using Genetic Programming
SN - 1063-7125
SP
EP
A1 - Vili Podgorelec,
A1 - Peter Kokol,
A1 - Jernej Zavrsnik,
PY - 1999
KW - Intelligent systems
KW - automatic programming
KW - mitral valve prolapse
VL - 0
JA - Computer-Based Medical Systems, IEEE Symposium on
ER -
 
Vili Podgorelec, University of Maribor
Peter Kokol, University of Maribor
Jernej Zavrsnik, University of Maribor
Medical decision making is one of the most demanding tasks in modern medicine. Based on a huge amount of solved cases and rapidly growing number of new findings, medical decision making is supposed to become more and more reliable and effective. However, physicians and medical experts are facing a new arising problem ? information overload, which they are not able to overcome. A solution might be found in decision support systems with intelligent information processing abilities that help to process a huge amount of data and suggest a possible decision for each new case. Regarding the simplicity of decision trees and effectiveness of evolutionary programming techniques we developed a decision support system based on automatic programming and used it to solve the mitral valve prolapse classification problem.
Index Terms:
Intelligent systems, automatic programming, mitral valve prolapse
Citation:
Vili Podgorelec, Peter Kokol, Jernej Zavrsnik, "Medical Diagnosis Prediction using Genetic Programming," cbms, pp.202, 12th IEEE Symposium on Computer-Based Medical Systems (CBMS'99), 1999
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