Big data approach for epidemiology and prevention of HIV/AIDS

Abstract

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 animals 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 paper mainly focuses on the prediction of disease like HIV/AIDS using supervised learning system.