A Survey of Big Data Analytics in Healthcare and Government

TLDR

Healthcare and government agencies generate large amounts of heterogeneous data, yet without proper analytics methods this data remains largely unusable. The paper aims to show how additional value can be extracted from healthcare and government data. The study describes how Hadoop‑based big data analytics is applied to healthcare and government use cases, enabling real‑time analysis of large heterogeneous datasets and predicting emergency situations. The authors find that Hadoop‑based big data analytics effectively performs real‑time analysis on large heterogeneous datasets and can predict emergency situations before they occur.

Abstract

This paper gives an insight of how we can uncover additional value from the data generated by healthcare and government. Large amount of heterogeneous data is generated by these agencies. But without proper data analytics methods these data became useless. Big Data Analytics using Hadoop plays an effective role in performing meaningful real-time analysis on the huge volume of data and able to predict the emergency situations before it happens. It describes about the big data use cases in healthcare and government.