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              <text>A multi-model unified disease diagnosis framework for cyber healthcare using IoMT-cloud computing networks</text>
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              <text>Cloud computing; Disease diagnosis; Internet of Things; Machine learning; Smart healthcare</text>
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              <text>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.  2023, Taru Publications. All rights reserved.</text>
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              <text>Upreti K.; Peng S.-L.; Kshirsagar P.R.; Chakrabarti P.; A.al-Alshaikh H.; Sharma A.K.; Poonia R.C.</text>
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              <text>Journal of Discrete Mathematical Sciences and Cryptography, Vol-26, No. 6, pp. 1819-1834.</text>
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              <text>Taru Publications</text>
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              <text>&lt;a href="https://doi.org/10.47974/JDMSC-1831" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.47974/JDMSC-1831&lt;/a&gt;
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              <text>ISSN: 9720529</text>
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              <text>Upreti K., Department of Creative Technologies and Product Design, National Taipei University of Business, Taipei City, Taiwan; Peng S.-L., Department of Creative Technologies and Product Design, National Taipei University of Business, Taipei City, Taiwan; Kshirsagar P.R., Department of Data Science, Tulsiramji Gaikwad Patil College of Engineering &amp;amp; Technology, Nagpur, India; Chakrabarti P., Department of Computer Science and Engineering, Sir Padampat Singhania University, Rajasthan, Udaipur, India; A.al-Alshaikh H., Department of Information Systems, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University Riyadh, Saudi Arabia; Sharma A.K., Department of Creative Technologies and Product Design, National Taipei University of Business, Taipei City, Taiwan; Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University), NCR, Uttar Pradesh, Delhi, Ghaziabad, India</text>
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