A multi-model unified disease diagnosis framework for cyber healthcare using IoMT- cloud computing networks
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Published:2023
Issue:6
Volume:26
Page:1819-1834
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ISSN:0972-0529
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Container-title:Journal of Discrete Mathematical Sciences and Cryptography
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language:
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Short-container-title:JDMSC
Author:
Upreti Kamal,Peng Sheng-Lung,Kshirsagar Pravin Ramdas,Chakrabarti Prasun,Al-Alshaikh Halah A.,Sharma A. K.,Poonia Ramesh Chandra
Abstract
The past several decades of research into machine learning have been of great assistance to humanity in the diagnosis of a variety of ailments using various forms of automated diagnostic procedures. Machine learning, combined with smart health devices, has improved health monitoring, timely diagnoses, and treatment. This paper introduces a unified disease diagnosis framework, integrating cloud computing, machine learning, and IoT. The framework has three layers: physical (collects patient data), fog (intermediate layer with a domain identification unit to determine input and diagnosis type), and transmission (cloud server with a disease detection unit). The performance evaluation shows the robustness and efficiency of the model as compared to state-of-art models.
Publisher
Taru Publications
Subject
Applied Mathematics,Algebra and Number Theory,Analysis