Diagnosis of valvular heart disease through neural networks ensembles

Computer Methods and Programs in Biomedicine

Volumn 93, Issue 2, 2009, Pages 185-191

  Das, Resul ^a   Turkoglu, Ibrahim ^a   Sengur, Abdulkadir ^a  

^a FIRAT UNIVERSITY   (Turkey)

Author keywords

Doppler heart sounds; Ensemble based method; Heart valves; Neural networks; SAS base software

Indexed keywords

CLASSIFICATION ACCURACIES; DATA SETS; DOPPLER HEART SOUNDS; ENSEMBLE METHODS; ENSEMBLE-BASED METHOD; HEART DISEASE DIAGNOSES; HEART DISEASES; HEART VALVES; MEDICAL DECISION SUPPORT SYSTEMS; NEW MODELS; NEW TOOLS; POSTERIOR PROBABILITIES; PREDICTED VALUES; SAS BASE SOFTWARE; SENSITIVITY AND SPECIFICITIES;

ADMINISTRATIVE DATA PROCESSING; ARTIFICIAL INTELLIGENCE; CARDIOLOGY; DECISION MAKING; DECISION SUPPORT SYSTEMS; DECISION THEORY; MANAGEMENT INFORMATION SYSTEMS; SYNTHETIC APERTURE SONAR;

NEURAL NETWORKS;

BIOMETRY; DATABASES, FACTUAL; DECISION SUPPORT SYSTEMS, CLINICAL; DIAGNOSIS, COMPUTER-ASSISTED; HEART SOUNDS; HEART VALVE DISEASES; HUMANS; NEURAL NETWORKS (COMPUTER); PREDICTIVE VALUE OF TESTS; SENSITIVITY AND SPECIFICITY; SOFTWARE;

EID: 58149316227     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2008.09.005     Document Type: Article

References (19)

1. http://yourtotalhealth.ivillage.com/heart-disease-fast-facts.html (accessed 13.02.08).
2. http://www.americanheart.org (accessed 13.02.08).
3. Keeton P.I.J., and Schlindwein F.S. Application of Wavelets in Doppler Ultrasound vol. 17, number 1 (1997), MCB University Press pp. 38-45
4. Wright I.A., Gough N.A.J., Rakebrandt F., Wahab M., and Woodcock J.P. Neural network analysis of Doppler ultrasound blood flow signals: a pilot study. Ultrasound in Medicine & Biology 23 5 (1997) 683-690
5. Chan B.C.B., Chan F.H.Y., Lam F.K., Lui P.W., and Poon P.W.F. Fast detection of venous air embolism is Doppler heart sound using the wavelet transform. IEEE Transactions on Biomedical Engineering 44 4 (1997) 237-245
6. Guler I., Kiymik M.K., Kara S., and Yuksel M.E. Application of autoregressive analysis to 20 MHz pulsed Doppler data in real time. International Journal Biomedical Computing 31 3-4 (1992) 247-256
7. Turkoglu I., Arslan A., and Ilkay E. An expert system for diagnosis of the heart valve diseases. Expert Systems with Applications 23 (2002) 229-236
8. Turkoglu I., Arslan A., and Ilkay E. An intelligent system for diagnosis of heart valve diseases with wavelet packet neural networks. Computer in Biology and Medicine 33 4 (2003) 319-331
9. Çomak E., Arslan A., and Turkoglu I. A decision support system based on support vector machines for diagnosis of the heart valve diseases. Computers in Biology and Medicine 37 (2007) 21-27
10. Uguz H., Arslan A., and Turkoglu I. A biomedical system based on hidden Markov model for diagnosis of the heart valve diseases. Pattern Recognition Letters 28 4 (2007) 395-404
11. Sengur A. An expert system based on principal component analysis, artificial immune system and fuzzy k-NN for diagnosis of valvular heart diseases. Computers in Biology and Medicine 38 3 (2008) 329-338
12. Sengur A. An expert system based on linear discriminant analysis and adaptive neuro-fuzzy inference system to diagnosis heart valve diseases. Expert Systems with Applications 35 1-2 (2008) 214-222
13. Sengur A., and Turkoglu I. A hybrid method based on artificial immune system and fuzzy k-NN algorithm for diagnosis of heart valve diseases. Expert Systems with Applications 35 3 (2008) 1011-1020
14. Devasahayam S.R. Signals and Systems in Biomedical Engineering (2000), Kluwer Academic Publishers
15. Bakhtazad A., Palazoglu A., and Romagnoli J.A. Process data de-noising using wavelet transform. Intelligent Data Analysis 3 October (1999) 267-285
16. Sengur A., Turkoglu I., and Ince M.C. Wavelet packet neural networks for texture classification. Expert Systems with Applications 32 March (2) (2007)
17. Quiroga R.Q., Roso O.A., and Basar E. Wavelet entropy: a measure of order in evoked potentials. Elsevier Science, Evoked Potentials and Magnetic Fields, September 49 (1999) 298-302
18. http://support.sas.com/documentation/ (accessed 20.01.08).
19. R. Das, I. Turkoglu, A. Sengur, Effective diagnosis of heart disease through neural networks ensembles, Expert Systems with Applications (2008); doi:10.1016/j.eswa.2008.09.013.