Distributed Deep Learning for Smart IoMT Challenges in the Healthcare Domain

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Author(s): Agila Harshini Thangavel (Vellore Institute of Technology, Chennai, India)
Copyright: 2023
Pages: 10
Source title: Scalable and Distributed Machine Learning and Deep Learning Patterns
Source Author(s)/Editor(s): J. Joshua Thomas (UOW Malaysia KDU Penang University College, Malaysia), S. Harini (Vellore Institute of Technology, India)and V. Pattabiraman (Vellore Institute of Technology, India)
DOI: 10.4018/978-1-6684-9804-0.ch004

Keywords: Artificial Intelligence / Engineering Science Reference / Knowledge Management and Library Science / Machine Learning

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Abstract

The Internet of Medical Things (IoMT) collects and transfers healthcare data over the network using sensors, software applications, and Edge devices. A greater number of Healthcare devices are being manufactured and there are various challenges like Interoperability, Security, Scalability, and privacy. IoMT devices are used to monitor and deliver treatments to patients remotely. For IoMt devices to reach their full potential the challenges need to be addressed. Healthcare devices when compromised can harm patients by disrupting personal data.

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Distributed Deep Learning for Smart IoMT Challenges in the Healthcare Domain

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