|Commenced in January 2007||Frequency: Monthly||Edition: International||Publications Count: 29306|
 M. Khajehei, F. Etemady, "Data Mining and Medical Research Studies," cimsim, pp.119-122, 2010 Second International Conference on Computational Intelligence, Modelling and Simulation, 2010
 T. Jayalakshmi, A. Santhakumaran, , "A Novel Classification Method for Diagnosis of Diabetes Mellitus Using Artificial Neural Networks," Data Storage and Data Engineering (DSDE), 2010 International Conference on , vol., no., pp.159-163, 9-10 Feb. 2010
 E.I.Mohamed, R.Linderm, G.Perriello,N.Daniele, S.J.Poppl, & A.DeLorenzo. “Predicting type 2 diabetes using an electronic nose-based artificial neural network analysis,” Diabetes nutrition metabolism, 15(4),215–221.202.
 J.C.Pickup, G. Williams, (Eds.), Textbook of diabetes, Blackwell Science, Oxford.
 Frank, A. & Asuncion, A. (2010). UCI Machine Learning Repository
[http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.
 WEKA, by university of Waikato, http://www.cs.waikato.ac.nz/ml/weka/
 P. Yasodha, M. Kannan, “Analysis of a Population of Diabetic Patient Databases in Weka Tool”, International Journal of Scientific & Engineering Research Volume 2, Issue 5, May-2011.
 Jiang Ming-Yan; Chen Zhi-Jian; , "Diabetes expert system," Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on , vol.2, no., pp.1076-1077 vol.2, 28-31 Oct 1997
 Jianchao Han; Rodriguez, J.C.; Beheshti, M.; , "Diabetes Data Analysis and Prediction Model Discovery Using RapidMiner," Future Generation Communication and Networking, 2008. FGCN '08. Second International Conference on , vol.3, no., pp.96-99, 13-15 Dec. 2008
 B.M Patil, R.C. Joshi, D. Toshniwal, "Association Rule for Classification of Type-2 Diabetic Patients," Machine Learning and Computing (ICMLC), 2010 Second International Conference on , vol., no., pp.330-334, 9-11 Feb. 2010
 A. A. Aljarullah, “Decision tree discovery for the diagnosis of type-II diabetes”, International Conference on Innovations in Information Technology, pp. 303-307, 2011.
 R. Arora, Suman, “Compatative analysis of classification algorithms on different dataset using WEKA”, International Journal of Computer Application, Vol. 54, no:13,pp.21-25, 2012.
 D.Marquardt, “An Algorithm for Least Squares Estimation of Non- Linear Parameter”, J. Soc. Ind. Appl. Math., pp. 1963.
 L.Fausett, “Fundamentals of Neural Networks Architecture.Algorithms and Applications”, Pearson Prentice Hall, USA, 1994.
 M.J. Diamantopoulou, V.Z. Antonopoulos and D.M. Papamichail “The Use of a Neural Network Technique for the Prediction of Water Quality Parameters of Axios River in Northern Greece”, Journal 0f Operational Research, Springer-Verlag, Jan 2005, pp. 115-125.
 L.Khuan, N.Hamzah and R Jailani, “Water Quality Prediction Using LSSVM with Particle Swarm Optimization”,Second International Workshop on Knowledge Discovery and Data Mining, China, 2009, pp. 900-904.
 A. K. Sharma, “ A comparative Study of Classification Algorithms for Spam Email Data Analysis”, International Journal on Computer Science and Engineering (IJCSE), Vol. 3, No:5,pp. 1890-1895, 2011.
 J. Kim, D. X. Le and G. R. Thoma, “ Naive Bayes Classifier for Extracting Bibliographic Information from Biomedical Online Articles,” DMIN , pp.373-378, 2008.