My area of research is on Markov Chain Modeling for Chronic Diseases. The research work focus on applying stochastic modelling in health care systems. We have studied about the most challenging deadly diseases like HIV, Myocardial Infarction, Breast Cancer, Diabetes and Kidney
Diseases.

Used the Higher order Markov Chain to study the disease progression and the effectiveness of the treatment given to the patients and found out the dependency between the current stage of the patients with their previous stage.

Used profile Hidden Markov model to find the probabilistic sequence patterns that a family of chronic disease DNA sequence follows, Carried out a case study and performed the survival analysis and calculated the survival probability of the patients in different timescale, the factors that negatively affect the outcome of the patients has also been estimated.

We have applied the data mining algorithm for prediction of chronic diseases and it will be useful in predicting the disease in early stage and treat them. Our research offers a quantitative tool for estimating future resources required by each component of the health services. All these research has been carried out using R, Python, and SPSS and Rapid Miner software’s.

Based on my Credentials University has awarded me Dr. M. G. Ramachandran Centenary Research Fellowship. I have presented three research papers in both national and international conferences. And also actively participated in several training programmes. During the research period I also done a certificate course offered by NPTEL on Introduction to R software.

1. Deneshkumar, V., Manoprabha, M., & Senthamarai Kannan, K. (2020). Multiple sequence alignment with hidden Markov model for diabetic genome.
2. Deneshkumar, V., Manoprabha, M., & Senthamarai Kannan, K. (2019). Markov chain modeling for immunological status of HIV patients. Communications in Statistics: Case Studies, Data Analysis and Applications, 5(2), 85-91.
3. Manoprabha, M., Balasubramaniam, R., Deneshkumar, V., & Kannan, K. S. (2021). Survival Regression Model for Predicting Chronic Kidney Disease. Annals of the Romanian Society for Cell Biology, 25(4), 2153-2159.
4. Deneshkumar, V., Manoprabha, M., & Senthamarai Kannan, K. (2019). SEMIPARAMETRIC REGRESSION MODEL FOR PREDICTING THE SURVIVAL OF MYOCARDIAL INFARCTION PATIENTS.
5. Deneshkumar, V., Manoprabha, M., & Senthamarai Kannan, K. (2019). Comparison of Datamining Techniques For Prediction Of Breast Cancer.