Distributed-computing based versatile healthcare services framework for diagnostic markers

Document Type

Book Chapter

Publication Date

1-1-2024

School

Computing Sciences and Computer Engineering

Abstract

Recently, there has been a boom in imaginative medical services technologies that have enhanced the delivery of medical care data. Human-to-human and gadget-to-gadget networks are crucial in people's lives and function 24 hours a day, seven days a week. Mobile-Cloud-Computing becomes a crucial tool in this regard. Given the tremendous improvements in the Internet of Things, such a combination has become a major worry. This study developed a framework that included two essential application components: flexible usage and a server request. The server application records patient data while a Counterfeit Neural Network (CNN) module distinguishes between the two stroke subtypes. Similarly, as a framework for stroke patients, our model ensures accessibility, security, and adaptability by utilising the Stroke dataset for CNN computation and the Multilayer Perceptron Algorithm (MLP), which has been completed without precedent for working with large amounts of data in this extension.

Publication Title

Next Generation Computing and Information Systems - Proceedings of the 2nd International Conference on Next-Generation Computing and Information Systems, ICNGCIS 2023

First Page

17

Last Page

24

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