A multi-model unified disease diagnosis framework for cyber healthcare using IoMT-cloud computing networks
- Title
- A multi-model unified disease diagnosis framework for cyber healthcare using IoMT-cloud computing networks
- Creator
- Upreti K.; Peng S.-L.; Kshirsagar P.R.; Chakrabarti P.; A.al-Alshaikh H.; Sharma A.K.; Poonia R.C.
- Description
- 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.
- Source
- Journal of Discrete Mathematical Sciences and Cryptography, Vol-26, No. 6, pp. 1819-1834.
- Date
- 2023-01-01
- Publisher
- Taru Publications
- Subject
- Cloud computing; Disease diagnosis; Internet of Things; Machine learning; Smart healthcare
- Coverage
- 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 & 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
- Rights
- Restricted Access
- Relation
- ISSN: 9720529
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Upreti K.; Peng S.-L.; Kshirsagar P.R.; Chakrabarti P.; A.al-Alshaikh H.; Sharma A.K.; Poonia R.C., “A multi-model unified disease diagnosis framework for cyber healthcare using IoMT-cloud computing networks,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/14524.