• Yamala Sandhya
• Dr. Halavath Balaji

The population of India is 1/5 th of the total world population. The country India is the second largest country in the population. The each and every state of India has different climatic situations. Based upon the climatic changes and many factors the diseases in India are growing day by day. The health of people in India is the major issue in now-a-days. There are so many inequalities between the states about the health. Health care system in India is mainly controlled or administrated by the respective state governments. To improve the health of the population in each and every state we require collecting the data from the state government and trends. The dataset consists of 30 states and union territory states except the Delhi. The experiment result shows the diseases which are mostly effect the people across the India. In this research we use the one of the data mining technique to produce the mostly effected diseases.

Data Mining, Improved FP-Tree, Support Count, Pruning.

"Estimation of Frequently Effected Diseases using Improved FP-Tree", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.44-54, May 2019, Available :http://www.jetir.org/papers/JETIRDA06010.pdf

"Estimation of Frequently Effected Diseases using Improved FP-Tree", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp44-54, May 2019, Available at : http://www.jetir.org/papers/JETIRDA06010.pdf