A big step for prediction of HIV/AIDS with big data tools

Abstract

Human activity is quickly transforming an ecosystem. How this transformation collision health of humanity, whose health is at risk, and the extent of the associated disease burden are relatively new subjects within the area of environmental health. HIV/AIDS, tubercular, and malaria are three major global public health an expression of intent to injure and cause substantial morbidness, undeadliness, not positive socioeconomic impact and nonstandard. The HIV/AIDS is actual of an occurrence disease to proceed with to be an important global challenge of health, and actual, to bear HIV-1 virus burden testing is more and more needed at the point of care (POC). The presence of Big Data is everywhere. It is not actually data, but is a concept which actually explains about the gathering of data, organizing the data, analyzing the data and getting information out of the data. More applications are created everyday to extract the value from it which is professional and practical. The use of Big Data technologies in enterprise data warehouse and business intelligence results in better business insights and decisions. Now, Big Data analytics recently used in the point-of-care delivery and disease penetration. Big Data analytics tools are essential and useful tools, which gives strength to companies to analyze entire data related to their customers and the flea market in which they perform. As this data holds a large amount of information concerning the specific type, commodity, client service satisfaction, and client sentiment, many companies have taken the use of Big Data analytics tool.