Speed up and more Quality in Recognition of Heart Disease based on a Learner Machine(Hybrid-Linear) and the Effect of Pareto’s Law on the Training Model

Publish Year: 1393
نوع سند: مقاله کنفرانسی
زبان: English
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NABICAD01_028

تاریخ نمایه سازی: 19 اردیبهشت 1395

Abstract:

Diseases had been the greatest threat for human being along the history. Heart diseases (HD) have gained special attention in medical studies. Recently studying about intelligent method such as classification and diagnosis of HD has been continuing as a key topic. Points of view in researches have been done in order to increase precise and reduce error in this kind of decisions. Aim of this paper is to propose a simple hybrid-linear model using logistic regression and single layer perceptron neural network which is using after a special pre-processing, identification of noisy data. And so, based on Pareto’s law, the network training with only 20% of the data exist is performed. The model for improving the classification and patterns recognition of HD has been used on clinical data of 270patients from the Cleveland Clinic (UCI website).The model has been implemented in MATLAB. The mean-error of the proposed model on the total dataset was 11/11%, which was achieved a significant improvement compared to recent similar methods. The results clearly show that the linear proposed technique has more effects on reducing the error in the classification and identification of patient more accurately and short-time than conventional methods and complex nonlinear. The method can help a doctor for early detection of disease or as a decision support system (DSS).

Authors

Mojtaba Heravi

Master of Science student, Department of Knowledge Engineering and Decision Sciences, University of Economic Sciences, Tehran; Member of Young Researchers and Elite Club, Islamic Azad University, Qazvin Branch

Saeed Setayeshi

Associate Professor, Department of Medical Radiation Engineering, School of physics and nuclear engineering, Amirkabir University of Technology, Tehran;

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  • Procedings". second annual IEEE symposium _ c omputer-based medical systems. ...
  • _ _ _ 1 2 _ _ ent. Accessed [15]. ...
  • York, NY: P earson/P rentice Hall; 2006. ...
  • Shabestan Nes Agency.Report of death rates about 201 [16]. _ ...
  • prediction system using data mining techniques". International conference _ computer ...
  • _ _ rt disease: An essential guide for the [17]. ...
  • . Inoue T, Taguri M, Hoshi M. "Prediction of nitrogen ...
  • . Inoue T, Hoshi M, Taguri M. "Stability of two ...
  • _ _ _ [20]. _ Sanchez. _ _ network learning ...
  • _ with fuzzy regression. Fuzzy Sets and Systems". 2006; 157(23): ...
  • controlling". Management Review. 1954; 43(11). The Mind and Society". Dover. ...
  • _ _ _ _ [23]. _ _ Intelligence in Medicine: ...
  • IEEE Transactions on Systems, Man and Cibernetics. 2000; 30: 451-462. ...
  • . Bishop C M. "Neural Networks for Pattern Recognition" . ...
  • _ _ _ _ mining". [26]. _ _ _ _ ...
  • clinical medicine". Lancet. 1995; 346: 1135-1138. Foundation" Prentice Hall Inc. ...
  • . _ _ _ _ heart [27]. _ "Neural Networks: ...
  • . Heravi M. and Setayeshi S., "Intelligent and Fast ...
  • . Webb, Andrew R. "Statistical Pattern Recognition". Second Editio. Wiley. ...
  • Machines". San Francisco Morgan Kaufmann. 1990. ...
  • _ Med. _ _ _ [30]. _ _ _ From ...
  • . Eberhart R, Dobbins R, Webber W.، Casenet: A neural ...
  • . Benjamin King RJ, Robins MW. "Cancer Biology".New York, NY: ...
  • . HEALTHHS. Definition of Heart Disease. 2010; available to: ...
  • http ://www .healthscout. com/encv/6 8/45 8/main .html##Defin : Accessed April ...
  • . King L. "Taking _ heart disease" Rodale. 2004. ...
  • . Silverstein A, Silverstein V B, Nunn L S. "Heart ...
  • . Caster S. "Heart". Rosen Publishing Group. 2010. ...
  • . TEXASH. Anatomy of the Human Heart with Flash screans] ...
  • http ://www .texasheart. org/hi c /anato mv/anatomv .cfm. Accessed September ...
  • treatment ih ع [34]. Crawford M H. "Current diagnosis cardiology". ...
  • . UCI. Cleveland Heart disease data details. 2010; available http ...
  • datab ases/heart-di se ase/heart-di Sease.name. February 08, 2009. ...
  • . Gonxalves L B and et al. _ Hierarchical Neuro- ...
  • . Kahramanli H, Allahverdi N "Design of a hybrid system ...
  • . Tan K C, Teoh E J, Yu Q, Goh ...
  • . Luukka P, Lampinen J. _ Classification Method Based on ...
  • . Nawi N M, Ghazali R :The Development of Improved ...
  • . Ozcift A, Gulten A. "Classifier ensemble construction with rotation ...
  • . Cui Z, Yang C, Sanyal S. "Training artificial neural ...
  • . Nahar J, Imam T, Tickle K S, Chen Y ...
  • نمایش کامل مراجع