Indian Journal of Science and Technology
Year: 2015, Volume: 8, Issue: 33, Pages: 1-4
C. Dharuman1* and P. Venkatesan2
1 SRM University, Ramapuram Campus, Chennai - 600089, Tamil Nadu, India; [email protected]
2 Sri Ramachandra University, Porur, Chennai - 600116, Tamil Nadu, India; [email protected]
Markov Chain Monte Carlo (MCMC) methods have been successfully used to overcome problems involving high dimensional diabetic spectral data. The objective is to show that the onset of a disease changes the relative content of the Bio-Molecules. The problem is formulated and solved in Bayesian frame work by using MCMC algorithm. The efficiency of the models are discussed, evaluated and compared.
Keywords: Bayesian, Diabetic Spectral Data, Markov Chain Monte Carlo, Pattern Analysis
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