Detection and Prevention of HIV AIDS Using Big Data Tool

Abstract

Big Data is an accumulation of data sets which are abundant and intricate in character. They comprise both structured and unstructured data that evolve abundant, so speedy they are not convenient by classical relational database systems or current analytical tools. Big Data Analytics is not linearly able to expand. It is a predefined schema. Big data analysis is the demanding one because it contains huge number of records. In today's world, the massive instruction about health care is to be prepared in order to recognize, diagnose, identify and prevent the various diseases. It is projected to develop a centralized patient monitoring system using big data. Health care is the conservation or advancement of health along the avoidance, interpretation and medical care of disorder, bad health, abuse, and other substantial and spiritual deterioration in mortal. One of the best areas where big data can be used to form an advance medical care. Medical care has the potential to reduce costs of treatment, predict outbreaks of epidemics, avoid preventable diseases and improve the quality of life in general. Average human lifespan is increasing along world population, which poses new challenges to today's treatment delivery methods. A disease is a particular abnormal condition that affects part or all of an organism not caused by external force and that consists of a disorder of a structure or function, usually serving as an evolutionary disadvantage. 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 R programming.