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Semantic IoT Interoperability and Data Analytics Using Machine Learning in Healthcare Sector

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Book cover Semantic IoT: Theory and Applications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 941))

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Abstract

With the exponential growth of data in electronic form, it becomes a complex and tedious task to extract meaningful information. The vast collection of data has resulted in big data that may be in indeterminate form. The challenge is to extract meaningful data from internet sources that are spreading across multiple domains and to enable consistent resource sharing, interoperability on multiple IoT platforms. The use of emerging technologies like Machine Learning and IoT is realized on multiple platforms, systems, and service applications. The introduction of predefined libraries on Natural Language Processing in Machine learning platforms has emphasized on the semantic web technologies and its IoT future directions. In this chapter, authors have discussed the role of the semantic web, three layered framework for IoT interoperability, and have framed a web ontology structure for semantic interoperability in IoT for the healthcare sector. Authors have also proposed the text analytics model for the healthcare sector and performed semantic data classification on synthesized healthcare dataset to predict the patient diagnosis using Machine learning techniques.

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Author information

Authors and Affiliations

  1. NIELIT Shimla, Shimla, Himachal Pradesh, India

    Pratiyush Guleria

  2. Department of Computer Science, Himachal Pradesh University, Shimla, India

    Manu Sood

Authors
  1. Pratiyush Guleria
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  2. Manu Sood
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Corresponding author

Correspondence to Pratiyush Guleria .

Editor information

Editors and Affiliations

  1. Amity Institute of Information Technology, Amity University Uttar Pradesh Lucknow Campus, Lucknow, Uttar Pradesh, India

    Rajiv Pandey

  2. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Marcin Paprzycki

  3. Amity Institute of Information Technology, Amity University Uttar Pradesh Lucknow Campus, Lucknow, Uttar Pradesh, India

    Nidhi Srivastava

  4. Database System Laboratory, University of Aizu, Aizu-Wakamatsu, Fukushima, Japan

    Subhash Bhalla

  5. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Katarzyna Wasielewska-Michniewska

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Guleria, P., Sood, M. (2021). Semantic IoT Interoperability and Data Analytics Using Machine Learning in Healthcare Sector. In: Pandey, R., Paprzycki, M., Srivastava, N., Bhalla, S., Wasielewska-Michniewska, K. (eds) Semantic IoT: Theory and Applications. Studies in Computational Intelligence, vol 941. Springer, Cham. https://doi.org/10.1007/978-3-030-64619-6_11

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