A New Approach for Liver Disease Detection using KNN and Back Propagation Algorithm
Keywords:
K-NN Algorithm, BPNN, Liver Disease, parameterized.Abstract
Heavy consumption of hybrid food in today's world causes for rising of different diseases. So the study of this medical diagnosis becomes the most important part of disciplines. If there is no proper knowledge of disease then it causes serious effects. Therefore there is a requirement of strong diagnosis system. This is made possible by K-nearest neighbor algorithm and Back propagation neural network. K- Nearest algorithm is based on non-parameterized family used for regression and classification. Back propagation neural network is another technique used for diagnosis of disease based on artificial neural network used for optimization method. In this paper the comparison of both algorithms is presented and how this technique has combinable produced the better result is discussed. The combined approach provides better accuracy up to 96%. Finally frames are provided to identify disease.
References
- R. A. Jacobs, "Increased rates of convergence through learning adaptation, Neural Networks", Elsevier, Vol.1 pp.295- 307, 1988.
- Hoon Jin Seoungcheon and jinhong Kim, "Decision Factors on Effective Liver Patient Data Prediction",IJBB, Vol 6, 2014.
- Lei Wang,Latifur Khan, and BhavaniThuraisingham, "An Effective Evidence Theory based K-nearest Neighbor (KNN) classification",WIIAT,IEEE,2008.
- Saduf, MohdArifWani, "Comparative Study of Back Propagation Learning Algorithms for Neural Networks",IJARCSSE, 2013.
- http://info.cancerresearchuk.org/cancerstats/types/liver/uk-liver-cancer-statistics.
- http://www.cancer.net/patient/Cancer+Types/Liver+Cancer?sectionTitle = Statistics.
- http://www.cancerfoundationofindia.org/.
- Paul R. Harper, "A review and comparison of classification algorithms for decision making", Elsevier,March 2005, Volume 71, Issue 3, Pages 315–331.
- BendiVenkataRamana, Prof. M.Surendra Prasad Babu, Prof. N. B. Venkateswarlu," A Critical Study of Selected Classification Algorithms for Liver Disease Diagnosis", IJDMS, Vol. 3, 2011.
- Daniel Hartono Sutanto and Mohd. KhanapiAbd. Ghani, "Improving Classification Performance Of K-Nearest Neighbour By Hybrid Clustering And Feature Selection For Non-Communicable Disease Prediction", ARPN Journal of Engineering and Applied Sciences, Vol. 10,Sept. 2015
- Dr. K.Vijayarekha, "Back Propagation Neural Network", SASTRA University, Thanjavur,Lecture No-4, MHRD.
- Michael J. Sorich, John O. Miners, Ross A. McKinnon,David A. Winkler, Frank R. Burden, and Paul A. Smith, "Comparison of linear and nonlinear classification algorithms for the prediction of drug and chemical metabolism by human UDP- Glucuronosyl transferase Isoforms" ACM, 2003, 43 (6), pp 2019–2024.
- Prof.M.S.PrasadBabu, BendiVenkataRamana, Boddu Raja Sarath Kumar, "New Automatic Diagnosis of Liver Status Using Bayesian Classification",IEEE,Vol-2., PP-385-388,2010.
- MirzaCilimkovic, "Neural Networks and Back Propagation Algorithm", 2015.
- Shaveta Sharma1, Parminder Singh, "Speech Emotion Recognition using GFCC and BPNN", IJETT, Vol-18, PP-321-322, 2014.
- S,Karthik, A.Priyadarshini, J.Anuradha, K.Tripathy," Classification and rule extraction using Rough set for the diagnosis of Liver Disease and its types", Advances in Applied Science Research,2011,2(3),334-345
- Y.Unal, H.E.Kocer,H.E.Akkurt," Automatic Diagnosis of Intervertebral Degenerative Disc Disease using Artificial Neural Network",IATS‟11, 16-18,May 2011
- Fuzzy Logic- A practical Approach, F.MartinMc. Neil, Ellen Thro, Academic Press,1994
- Fuzzy Expert System and Fuzzy Reasoning ,William Siler, James J Buckley,2005
- Prof.Hua Li, Prof.Madan Gupta, Fuzzy Logic and Intelligent System, Kluwer Academic Publisher(1995).
Downloads
Published
Issue
Section
License
Copyright (c) IJSRCSEIT
This work is licensed under a Creative Commons Attribution 4.0 International License.