A framework for data analytics-based healthcare systems
Lecture Notes on Data Engineering and Communications Technologies, ISSN: 2367-4520, Vol: 59, Page: 83-96
2021
- 50Citations
- 9Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Book Chapter Description
In this modern techno-world, the term data is unavoidable and certainly, nothing is possible without its usage. The trends about how to analyse the data are the need of the hour. Data analytics is becoming a future escalating tool of all industries including medicine, robotics, etc. This article briefly explains how data analytics is used in healthcare systems. Health care is the process of maintaining and improving the health of an individual by preventing, diagnosing and treating the diseases, illness and other physical and mental imbalances in people. Data analytics is classified into four types and they are descriptive, diagnostic, predictive and prescriptive analysis. Health care makes use of prescriptive analysis to arrive at the best results and make better decisions. Big data plays a major role in data analytics. It helps the data analysts to collect data from the patients and store them efficiently. After the completion of this whole article, the reader will be able to get the collective idea about health care analytics.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85101185478&origin=inward; http://dx.doi.org/10.1007/978-981-15-9651-3_7; https://link.springer.com/10.1007/978-981-15-9651-3_7; https://link.springer.com/content/pdf/10.1007/978-981-15-9651-3_7; https://dx.doi.org/10.1007/978-981-15-9651-3_7; https://link.springer.com/chapter/10.1007/978-981-15-9651-3_7
Springer Science and Business Media LLC
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