Batch Processing Management Systems: Product overview and architecture, as well as drawbacks

Batch Processing Management Systems: Product overview and architecture, as well as drawbacks

Authors

  • Yatin Khurana

Abstract

The development of technology has provided us with clear evidence of how the health sector might be better prepared for human usage. Numerous research have used the Internet of Things (IoT) and the strength of supervised, semi-supervised, and unsupervised machine learning algorithms to extract insightful knowledge from healthcare data that is further beneficial in making the appropriate judgments. IoT and machine learning algorithms are the only two domains that, when combined, may offer answers to issues in any smart healthcare system by delivering features like early illness identification and improved treatment outcomes.

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Published

2018-12-19

How to Cite

Khurana, Y. (2018). Batch Processing Management Systems: Product overview and architecture, as well as drawbacks. Transactions on Recent Developments in Health Sectors, 1(1). Retrieved from https://isjr.co.in/index.php/TRDHS/article/view/29

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