Secure IoMT for Disease Prediction Empowered With Transfer Learning in Healthcare 5.0, the Concept and Case Study

Author:

Khan Tahir Abbas1,Fatima Areej2,Shahzad Tariq3ORCID,Atta-Ur-Rahman 4ORCID,Alissa Khalid5,Ghazal Taher M.6ORCID,Al-Sakhnini Mahmoud M.7ORCID,Abbas Sagheer1ORCID,Khan Muhammad Adnan8,Ahmed Arfan9ORCID

Affiliation:

1. School of Computer Science, National College of Business Administration and Economics, Lahore, Pakistan

2. Department of Computer Science, Lahore Garrison University, Lahore, Pakistan

3. Department of Electrical and Electronic Engineering Science, University of Johannesburg, Johannesburg, South Africa

4. Department of Computer Science, College of Computer Science and Information Technology (CCSIT), Imam Abdulrahman Bin Faisal University (IAU), Dammam, Saudi Arabia

5. Networks and Communications Department, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University (IAU), Dammam, Saudi Arabia

6. Applied Science Research Center, Applied Science Private University, Amman, Jordan

7. General Education in School of Business, Skyline University College, Sharjah, United Arab Emirates

8. School of Information Technology, Skyline University College, Sharjah, United Arab Emirates

9. AI Center for Precision Health, Weill Cornell Medicine-Qatar, Doha, Qatar

Funder

Qatar National Library

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference59 articles.

1. Blockchain-Based Security Mechanisms for IoMT Edge Networks in IoMT-Based Healthcare Monitoring Systems

2. Convolution neural networks for diagnosing colon and lung cancer histopathological images;mangal;arXiv 2009 03878,2020

3. A smart secure healthcare monitoring system with Internet of Medical Things

4. The histological diagnosis of colonic adenocarcinoma by applying partial self-supervised learning;bukhari;medRxiv,2020

5. Potential of Internet of Medical Things (IoMT) applications in building a smart healthcare system: A systematic review

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