• Mrs. R. Indra
• R. Pavithra

Nowadays, the disease is spreading and becoming noxious to the society inattentive of hospitalization that is present. Toxic diseases are the disorder by organisms, such as bacteria, viruses, fungi, or parasites, which happened in a normal body. Some toxic syndromes pass from one individual to another individual, some are transferred due to animal’s bite or insects, and others may happen by consuming contaminated water or food or by getting exposed to the organisms which are present in the environment. AIDS becomes a rapidly spreading and turning the life to death disease. HIV spreads from one individual to another individual in the population, in many different ways that may be due to semen and blood. The study of disease is called pathology, which includes the study of cause. This research work mainly focuses on the prediction of disease like HIV/AIDS using supervised learning system.

Machine Learning, HIV, Supervised Learning, Unsupervised Learning, Classification, Data Mining.

"Big Data Approach for Epidemiology and Prevention of HIV/AIDS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.44-50, June 2019, Available :http://www.jetir.org/papers/JETIRDB06007.pdf

"Big Data Approach for Epidemiology and Prevention of HIV/AIDS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp44-50, June 2019, Available at : http://www.jetir.org/papers/JETIRDB06007.pdf