A support vector machine approach for predicting heart conditions

Pooya Tabesh, Gino Lim, Suresh Khator, Cliff Dacso

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

1 Citation (Scopus)

Abstract

Early diagnosis of heart-related problems can potentially reduce mortality rate and help patients maintain a better quality of life. Recently, advanced mathematical and statistical models enable us to analyze the continuous flow of data and to predict hazardous heart conditions. In this paper, we present a categorical feature-based classification method using support vector machines (SVMs) to predict the heart condition. Existing medical and demographic data of the patients will be used as input for classifying the heart condition as normal or abnormal. Using the introduced categorical feature-based classification method, we identified the significance of the categorical features in classification accuracy. Also, SVM classification accuracy was increased from 65.8% to 84% by modifying the kernel width by using trial-And-error approach.

Original languageEnglish (US)
Title of host publicationIIE Annual Conference and Expo 2010 Proceedings
PublisherInstitute of Industrial Engineers
StatePublished - 2010
Externally publishedYes
EventIIE Annual Conference and Expo 2010 - Cancun, Mexico
Duration: Jun 5 2010Jun 9 2010

Other

OtherIIE Annual Conference and Expo 2010
CountryMexico
CityCancun
Period6/5/106/9/10

Fingerprint

Support vector machines
Mathematical models

Keywords

  • Categorical feature-based classification
  • Classification
  • Support vector machine

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

Cite this

Tabesh, P., Lim, G., Khator, S., & Dacso, C. (2010). A support vector machine approach for predicting heart conditions. In IIE Annual Conference and Expo 2010 Proceedings Institute of Industrial Engineers.

A support vector machine approach for predicting heart conditions. / Tabesh, Pooya; Lim, Gino; Khator, Suresh; Dacso, Cliff.

IIE Annual Conference and Expo 2010 Proceedings. Institute of Industrial Engineers, 2010.

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

Tabesh, P, Lim, G, Khator, S & Dacso, C 2010, A support vector machine approach for predicting heart conditions. in IIE Annual Conference and Expo 2010 Proceedings. Institute of Industrial Engineers, IIE Annual Conference and Expo 2010, Cancun, Mexico, 6/5/10.
Tabesh P, Lim G, Khator S, Dacso C. A support vector machine approach for predicting heart conditions. In IIE Annual Conference and Expo 2010 Proceedings. Institute of Industrial Engineers. 2010
Tabesh, Pooya ; Lim, Gino ; Khator, Suresh ; Dacso, Cliff. / A support vector machine approach for predicting heart conditions. IIE Annual Conference and Expo 2010 Proceedings. Institute of Industrial Engineers, 2010.
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