Applications of Java in Real-Time Data Processing for Healthcare

Authors

  • Chinmay Mukeshbhai Gangani  Independent Researcher, USA

Keywords:

Current Technology, Internet of Things (IoT) Real Time, Monitoring and Managing, Microelectronics, Sensor Sensing, Reduced Costs, Real-Time Application, Smart E-Healthcare, Bluetooth Low Energy (BLE), Streaming Data.

Abstract

People's personal health can be effectively monitored thanks to modern technologies. One option for tracking data on personal vital signs is to use sensors that are based on Bluetooth Low Energy (BLE). In order to assist diabetic patients better manage their chronic condition on their own, we present a customized healthcare monitoring system in this research that makes use of a BLE-based sensor gadget, instantaneous data processing, and machine learning-based algorithms. For the Internet of Things (IoT)-based smart e-Healthcare to be served effectively, real-time service has become essential. Numerous approaches have attempted to advance this area of technology, but they have fallen far short in integrating open and lightweight IoT-based frameworks. Hundreds of linked sensors must be deployed for scientific applications in healthcare, including body area networks, in order to track a host's health. The continuous stream of data gathered by all those sensors, which must be analysed instantly, is one of the main obstacles. Moving the gathered big data to a cloud data centre for reporting on progress and record keeping purposes is often required for follow-up data analysis. With less management, cloud computing offers a company a good structure and a decent cost. Monitoring and treating chronic illnesses and possible crises are the main goals of recent developments in sensor communication, sensor sensing, and microelectronics. Through message interceptions and the application of criteria based on the syndromic surveillance paradigm, we assess the quality of data in such systems using sophisticated event processing made possible by the Event Swarm programming framework. We think this is the first study to report on applying syndromic surveillance criteria to legacy clinical data streams in real-time. Our approach's viability is shown by our design and execution, which also illustrates the advantages of enhanced HIT system operational quality, including increased patient safety, lower risks in healthcare delivery, and perhaps lower costs.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2019-10-30

Issue

Volume 6, Issue 5, September-October-2019

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Chinmay Mukeshbhai Gangani "Applications of Java in Real-Time Data Processing for Healthcare " International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 6, Issue 5, pp.359-370, September-October-2019.