Improving the heart disease diagnosis by evolutionary algorithm of PSO and Feed Forward Neural Network
作者： Majid Ghonji Feshki , Omid Sojoodi Shijani
DOI: 10.1109/RIOS.2016.7529489
关键词:
摘要: The considerable growing of cardiovascular disease and its effects complications as well the high costs on society makes medical community seek for solutions to prevention, early identification effective treatment with lower costs. Thus, valuable knowledge can be established by using artificial intelligence data mining; discovered improve quality service. Until now, different researches have been carried out in order predict heart based mining methods such classification clustering methods; however, what has less noticed is exact diagnosis lowest cost time. In this paper, feature ranking factors related Cleveland clinic database Particle Swarm Optimization Neural Network Feed Forward Back-Propagation, 13 reduced 8 optimized features terms accuracy. assessment selected classified also showed that PSO method along Networks Back-Propagation best accurate criteria rate 91.94% these features.
sci-hub.se 参考文章(15)
Yoichi Hayashi, Rudy Setiono, Katsumi Yoshida, A comparison between two neural network rule extraction techniques for the diagnosis of hepatobiliary disorders Artificial Intelligence in Medicine. ,vol. 20, pp. 205- 216 ,(2000) , 10.1016/S0933-3657(00)00064-6
Mohammad Hossein Zangooei, Saeed Jalili, PSSP with dynamic weighted kernel fusion based on SVM-PHGS Knowledge Based Systems. ,vol. 27, pp. 424- 442 ,(2012) , 10.1016/J.KNOSYS.2011.11.002
Veerendra Singh, S. Mohan Rao, Application of image processing and radial basis neural network techniques for ore sorting and ore classification Minerals Engineering. ,vol. 18, pp. 1412- 1420 ,(2005) , 10.1016/J.MINENG.2005.03.003
Matjaž Kukar, Igor Kononenko, Ciril Grošelj, Katarina Kralj, Jure Fettich, Analysing and improving the diagnosis of ischaemic heart disease with machine learning. Artificial Intelligence in Medicine. ,vol. 16, pp. 25- 50 ,(1999) , 10.1016/S0933-3657(98)00063-3
Lalit Gupta, Mohammad R. Sayeh, Ravi Tammana, A neural network approach to robust shape classification Pattern Recognition. ,vol. 23, pp. 563- 568 ,(1990) , 10.1016/0031-3203(90)90034-I
Jesmin Nahar, Tasadduq Imam, Kevin S. Tickle, Yi-Ping Phoebe Chen, Computational intelligence for heart disease diagnosis: A medical knowledge driven approach Expert Systems With Applications. ,vol. 40, pp. 96- 104 ,(2013) , 10.1016/J.ESWA.2012.07.032
A. Sheik Abdullah, R. R. Rajalaxmi, A Data mining Model for predicting the Coronary Heart Disease using Random Forest Classifier IJCA Proceedings on International Conference in Recent trends in Computational Methods, Communication and Controls (ICON3C 2012). ,(2012)
Anchana Khemphila, Veera Boonjing, Heart Disease Classification Using Neural Network and Feature Selection international conference on systems engineering. pp. 406- 409 ,(2011) , 10.1109/ICSENG.2011.80
Sunila Godara, Milan Kumari, Comparative Study of Data Mining Classification Methods in Cardiovascular Disease Prediction ,(2011)
Goodarz Danaei, Eric L Ding, Dariush Mozaffarian, Ben Taylor, Jürgen Rehm, Christopher JL Murray, Majid Ezzati, None, The Preventable Causes of Death in the United States: Comparative Risk Assessment of Dietary, Lifestyle, and Metabolic Risk Factors PLOS Medicine. ,vol. 6, pp. 1- 23 ,(2009) , 10.1371/JOURNAL.PMED.1000058