Role of Big Data Analytics in Healthcare
Anjali Jolly1, Pooja Tripathi2
1Anjali Jolly*, Computer Deptt., DAV College Hoshiarpur, India.
2Dr Pooja Tripathi, Head-Department of Information Technology, Inderprastha Engineering College, Ghaziabad(U.P), India.
Manuscript received on September 22, 2019. | Revised Manuscript received on October 20, 2019. | Manuscript published on October 30, 2019. | PP: 4174-4177 | Volume-9 Issue-1, October 2019 | Retrieval Number: A1421109119/2019©BEIESP | DOI: 10.35940/ijeat.A1421.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Big data analytics has turn out to be the principle essence of just about every area in modern life such as health-care, commercial enterprise and plenty of different industries. Recent improvements in technology have absolutely changed the way our every day existence operates as hastily evolving advancements are leading towards bigger use of knowledge in the direction of high-quality lifestyles. Recently, investigators in healthcare technology are generating complex and excessive-dimensional records using diverse datasets and for this reason, these disciplines become more record-intensive. Hence, this may be considered as the right time to efficiently use the statistics analytics in healthcare and medical research to enhance remedy and affected person care. One side, big data analytics is coupled with some drawbacks and demanding situations than the existing conventional techniques. However, massive statistics is the imperative part of diverse researches like in human genome, which holds the promising future for subsequent generations. This makes it feasible to achieve a consolidated data associated with patient’s health which allows analysing the expected effects precisely. Therefore, these types of innovations have made it possible to use massive information in healthcare for improving the clinical operations, financial strategies in clinical sectors with digitized record upkeep and early ailment detection. Big data revolution has widened the horizons of healthcare and biomedical technology as it gives open record pool of affected person’s previous health facts for better analysis & assessment in future and thereby improving the medical practices with powerful scientific services.
Keywords: Big Data analytics, HDFS, OLAP, Hadoop.