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International Journal of Pure & Applied Bioscience (IJPAB)
Year : 2017, Volume : 5, Issue : 5
First page : (436) Last page : (441)
Article doi: http://dx.doi.org/10.18782/2320-7051.2877

Detection of Progression of Clinical Mastitis in Cows Using Hidden Markov Model

Safeer M. Saifudeen1*, S. Selvam2, A. Serma Saravana Pandian3, R. Venkataramanan3 and
 A. Mohamed Safiullah4
1PG scholar, 2Professor and Head (Retd.), 3Assistant Professor, 4Professor and Head, Department of Animal Husbandry Statistics and Computer Applications, Madras Veterinary College, Chennai,
Tamil Nadu Veterinary and Animal Sciences University, Chennai-600051
*Corresponding Author E-mail: safeermsaifudeen@gmail.com
Received: 20.04.2017  |  Revised: 28.05.2017   |  Accepted: 1.06.2017  


Mastitis is the most important and expensive disease of dairy industry. A clear cut idea about the progression of clinical cases of mastitis in a herd is essential for effective mastitis prevention and control program. Hidden Markov model is a doubly stochastic process with an underlying stochastic process that is not observable (it is hidden), but can only be observed through another set of stochastic processes that produce the sequence of observed symbols.The present study reveals the most probable sequence of stages of bovine clinical mastitis which are hidden inside the body using the transition probabilities between the stages and also using the emission probabilities of possible symptoms exhibited in each stage of the disease as an application of hidden Markov model. Clinical mastitis constituted 46.8 percent of the total mastitis cases presented. The sequence of progression of the stages of mastitis obtained as viterbi path from the overall cases of bovine clinical mastitis studied was W1→ W2 → W1 → W2 → W1, where W1 is the stage of inflammatory response and W2 is the stage of bacterial flare up and production of toxins.

Key words: Mastitis in cows, Hidden Markov model, Probability.

Full Text : PDF; Journal doi : http://dx.doi.org/10.18782

Cite this article: Saifudeen, S.M., Selvam, S., Pandian, A.S.S., Venkataramanan, R. and Safiullah, A.M., Detection of Progression of Clinical Mastitis in Cows Using Hidden Markov Model, Int. J. Pure App. Biosci.5(5): 436-441 (2017). doi: http://dx.doi.org/10.18782/2320-7051.2877