ProICET - A cost-sensitive system for the medical domain

Rodica Potolea, Camelia Vidrighin, Cristina Savin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In recent years, data mining has started to receive increasing interest as a method of complementing domain specific expertise in various spheres of human activity. Apart from data specific issues, a key particularity of many real world problems, such as medical diagnosis, are the costs involved, the most important being the test and the misclassification costs. This paper evaluates ProICET, a new system built around the ICET algorithm. The system has been previously benchmarked on classical medical data sets. Here, we use a real medical dataset to test the current version of our system. The comparative analysis confirms that ProICET is the best at cost minimization out of several successful classifiers, while keeping a good accuracy rate.

Original languageEnglish (US)
Title of host publicationProceedings - Third International Conference on Natural Computation, ICNC 2007
Pages338-342
Number of pages5
Volume2
DOIs
StatePublished - 2007
Event3rd International Conference on Natural Computation, ICNC 2007 - Haikou, Hainan, China
Duration: Aug 24 2007Aug 27 2007

Other

Other3rd International Conference on Natural Computation, ICNC 2007
CountryChina
CityHaikou, Hainan
Period8/24/078/27/07

Fingerprint

Costs
Cost Minimization
Misclassification
Expertise
Comparative Analysis
Data mining
Data Mining
Classifiers
Classifier
Evaluate
Human

ASJC Scopus subject areas

  • Applied Mathematics
  • Computational Mathematics
  • Modeling and Simulation

Cite this

Potolea, R., Vidrighin, C., & Savin, C. (2007). ProICET - A cost-sensitive system for the medical domain. In Proceedings - Third International Conference on Natural Computation, ICNC 2007 (Vol. 2, pp. 338-342). [4304574] https://doi.org/10.1109/ICNC.2007.581

ProICET - A cost-sensitive system for the medical domain. / Potolea, Rodica; Vidrighin, Camelia; Savin, Cristina.

Proceedings - Third International Conference on Natural Computation, ICNC 2007. Vol. 2 2007. p. 338-342 4304574.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Potolea, R, Vidrighin, C & Savin, C 2007, ProICET - A cost-sensitive system for the medical domain. in Proceedings - Third International Conference on Natural Computation, ICNC 2007. vol. 2, 4304574, pp. 338-342, 3rd International Conference on Natural Computation, ICNC 2007, Haikou, Hainan, China, 8/24/07. https://doi.org/10.1109/ICNC.2007.581
Potolea R, Vidrighin C, Savin C. ProICET - A cost-sensitive system for the medical domain. In Proceedings - Third International Conference on Natural Computation, ICNC 2007. Vol. 2. 2007. p. 338-342. 4304574 https://doi.org/10.1109/ICNC.2007.581
Potolea, Rodica ; Vidrighin, Camelia ; Savin, Cristina. / ProICET - A cost-sensitive system for the medical domain. Proceedings - Third International Conference on Natural Computation, ICNC 2007. Vol. 2 2007. pp. 338-342
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