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Application of Big Data Analytics and Internet of Medical Things (IoMT) in Healthcare with View of Explainable Artificial Intelligence: A Survey

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Interpretable Cognitive Internet of Things for Healthcare

Part of the book series: Internet of Things ((ITTCC))

Abstract

The integration of Big Data Analytics (BDA) and the Internet of Medical Things (IoMT) has brought a significant transformation in the healthcare industry. The emergence of Explainable Artificial Intelligence (XAI) has further revolutionized the healthcare sector by providing insights into complex machine learning models. This survey aims to explore the application of BDA and IoMT in healthcare with a view on XAI.

The survey highlights the benefits of BDA and IoMT in healthcare, such as improved patient outcomes, reduced healthcare costs, and enhanced personalized medicine. It also discusses the challenges associated with the use of BDA and IoMT, including data privacy, security, and regulatory compliance. The survey provides an overview of the latest research and development in the field of XAI, with particular focus on its application in healthcare.

Furthermore, the survey presents a detailed analysis of the existing literature on the integration of BDA, IoMT, and XAI in healthcare. It discusses the various applications of BDA, IoMT, and XAI in healthcare, such as medical imaging, drug discovery, diagnosis, and treatment planning. The survey also highlights the potential benefits of XAI in healthcare, including transparency, interpretability, and fairness.

Finally, the survey concludes by discussing the future research directions in the field of BDA, IoMT, and XAI in healthcare. It emphasizes the need for ethical guidelines and best practices for the responsible use of BDA, IoMT, and XAI in healthcare to ensure patient safety and privacy. The survey provides valuable insights into the integration of BDA, IoMT, and XAI in healthcare and their potential to revolutionize the healthcare industry.

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Author information

Authors and Affiliations

  1. Department of Information Technology, Amity University Jharkhand, Ranchi, India

    Anurag Sinha

  2. Department of Engineering, Lyceum of the Philippines University – Cavite Campus, Cavite, Philippines

    Den Whilrex Garcia

  3. Department of Computer Science and Engineering, Amity University Jharkhand, Ranchi, India

    Biresh Kumar & Pallab Banerjee

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  1. Anurag Sinha
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  2. Den Whilrex Garcia
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  3. Biresh Kumar
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  4. Pallab Banerjee
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Editor information

Editors and Affiliations

  1. Department of Computer Engineering, Suleyman Demirel University, Isparta, Türkiye

    Utku Kose

  2. Department of Computer Science Engineering, Maharaja Agrasen Institute of Technology, Rohini, Delhi, India

    Deepak Gupta

  3. Department of Computer Science Engineering, Maharaja Agrasen Institute of Technology, Rohini, Delhi, India

    Ashish Khanna

  4. Campus Petronio Portela, Bloco 8, Federal University of Piaui, Centro de Tecnologia, Teresina, Piauí, Brazil

    Joel J. P. C. Rodrigues

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Sinha, A., Garcia, D.W., Kumar, B., Banerjee, P. (2023). Application of Big Data Analytics and Internet of Medical Things (IoMT) in Healthcare with View of Explainable Artificial Intelligence: A Survey. In: Kose, U., Gupta, D., Khanna, A., Rodrigues, J.J.P.C. (eds) Interpretable Cognitive Internet of Things for Healthcare. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-031-08637-3_8

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  • DOI: https://doi.org/10.1007/978-3-031-08637-3_8

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  • Online ISBN: 978-3-031-08637-3

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