• Dr. C.Kalaiselvi

Abstract : Heterogeneous, chronic diseases such as diabetes, heart diseases and cancer, tuberculosis are commonly occurred and increased now a day. Most of the people don’t know the symptoms of these diseases and its chronic complications. There is a chance for everyone getting chronic diseases when people work in a polluted environment. The effects are uncontrolled over time and may lead to serious damage to human body and life. India being a country of huge population is living in working environment. In general, diagnosing diseases at the right time is important in healthcare sector for decision making in correct manner. This study aims to develop enhanced disease identification technique for achieving higher efficiency and to improve advancement in disease identification using data mining techniques.

Disease, Chronic, Data mining, Identification, Healthcare

"APPLYING DATA MINING TECHNIQUES TO CHRONIC DISEASE IDENTIFICATION AT THE WORK PLACE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.862-870, June 2019, Available :http://www.jetir.org/papers/JETIR1908128.pdf

"APPLYING DATA MINING TECHNIQUES TO CHRONIC DISEASE IDENTIFICATION AT THE WORK PLACE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp862-870, June 2019, Available at : http://www.jetir.org/papers/JETIR1908128.pdf