Usage of Big Data Prediction Techniques for Predictive Analysis in HIV/AIDS

Author:

Mohapatra Chinmayee1,Acharya Biswaranjan1,Rautaray Siddhath Swarup1,Pandey Manjusha1

Affiliation:

1. KIIT University, India

Abstract

The term big data refers to the data that exceeds the processing or analyzing capacity of existing database management systems. The inability of existing DBMS to handle big data is due to its large volume, high velocity, pertaining veracity, heterogeneous variety, and on-atomic values. Nowadays, healthcare plays a vital role in everyone's life. It becomes a very large and open platform for everyone to do all kinds of research work without affecting human life. When it comes to disease, there are so many types found all over the world. But among them, AIDS (acquired immunodeficiency syndrome) is a disease that spreads so quickly and can easily turn life to death. There are many studies going on to create drugs to cure this deadly disease, but until now, there has been no success. In cases such as this, big data is implemented for better a result, which will have a good impact on society.

Publisher

IGI Global

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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2. Deep Multilayer Neural Network with Weights Optimization-Based Genetic Algorithm for Predicting Hypothyroid Disease;Arabian Journal for Science and Engineering;2023-12-13

3. Big Data Approach for Epidemiology and Prevention of HIV/AIDS;Advances in Intelligent Systems and Computing;2018-09-02

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