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Design and Development of Consensus Activation Function Enabled Neural Network-Based Smart Healthcare Using BIoT

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Abstract

In the healthcare region, Internet of Things (IoT) plays a major role in various fields and is developed as a common technique. An enormous amount of data is collected from various sensing equipment owing to the increasing demand for IoT. There occur a few challenges in the designing and developing of analyzing the huge amount of data resource limitations, absence of suitable training data, centralized architecture, privacy, and security. These issues are resolved by incorporating blockchain technology, they provide a decentralized mechanism and also ensure safe transmission of data. Blockchain technology majorly assists the caretaker to reveal the encrypted genetic codes by ensuring the security level for secure data transfer and enabling the secure transmission of patient electronic health records. The smart doctor has the accessibility to decrypt the data which is in encrypted form and after verifying the condition of the patient, the report is securely transmitted to the hospital cloud with the same encryption process. Only the relevant features are selected and are delivered to the optimized neural network with the consensus activation function. The neural network classifier performance is enhanced by the utilization of smart echolocation optimization in the developed method. The consensus activation function majorly helps to capture only the significant features for further training the model and which improves the classification accuracy. The trained model is compared with the test data to predict the disease affected the patient in the n number of hospitals.

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Authors and Affiliations

  1. School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China

    Ilyas Benkhaddra & Lei Hang

  2. Department of Computer Science and Engineering, Chandigarh University, Mohali, Punjab, India

    Abhishek Kumar

  3. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China

    Mohamed Ali Setitra

Authors
  1. Ilyas Benkhaddra
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  2. Abhishek Kumar
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  3. Mohamed Ali Setitra
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  4. Lei Hang
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Contributions

Benkhaddra Ilyas conceived the presented idea and designed the analysis. Also, he carried out the experiment and wrote the manuscript with support from Abhishek Kumar, Setitra Mohamed Ali and Hang Lei. Abhishek Kumar co-supervised the whole work and supervision done by Lei Hang. All authors discussed the results and contributed to the final manuscript. All authors read and approved the final manuscript.

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Correspondence to Ilyas Benkhaddra.

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Benkhaddra, I., Kumar, A., Setitra, M.A. et al. Design and Development of Consensus Activation Function Enabled Neural Network-Based Smart Healthcare Using BIoT. Wireless Pers Commun 130, 1549–1574 (2023). https://doi.org/10.1007/s11277-023-10344-0

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  • DOI: https://doi.org/10.1007/s11277-023-10344-0

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