Lokesh, S (2022) AI-based big data analytics model for medical applications. Measurement: Sensors, 24. p. 100534. ISSN 26659174
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Abstract
Today, people's daily lives depended on their mobile phones, facilitating many beneficial tasks. Mobile computing and cloud computing combine cloud-based mobile computing to improve their features and overcoming their disadvantages such as memory space, processor, and longer battery life. By combining the four “V's” of volume, variety, velocity and veracity, Big Data analytics tools allow the utility to be extracted through knowledge. This paper explores the development of interconnected healthcare systems and the contribution of mobile cloud applications and big data analysis. With the implementation of cloud computing in the healthcare system, inspiration and development of interconnected health - software and care services are given. Big Data services for the healthcare sector on a cloudlet-based mobile cloud computing platform. Big data analysis methods, equipment, and solutions are examined. We have concluded the development of interconnected medical systems using Big Data and mobile cloud computing.
Item Type: | Article |
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Subjects: | C Computer Science and Engineering > Data Science C Computer Science and Engineering > Mobile Computing C Computer Science and Engineering > Cloud Computing |
Divisions: | Computer Science and Engineering |
Depositing User: | Users 5 not found. |
Date Deposited: | 10 May 2024 05:58 |
Last Modified: | 10 May 2024 05:58 |
URI: | https://ir.psgitech.ac.in/id/eprint/535 |