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Natural Language Processing (NLP) Based Innovations for Smart Healthcare Applications in Healthcare 4.0

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Enabling Technologies for Effective Planning and Management in Sustainable Smart Cities

Abstract

Technology and computation have changed the backdrop of various aspects of our fast-paced lives. Healthcare is one such aspect that has been affected by this change and faces new challenges every day including the challenge of extracting relevant and valuable information from the enormous amount of data that is generated endlessly in this sector. Smart data analytics provides a solution to this problem through the use of Artificial Intelligence and Natural Language Processing (NLP). This paper elucidates the core concept of textual data analytics that is, NLP, its composition, and architecture. We also present the framework of Healthcare 4.0 and NLP’s role in it. Subsequently, we give an elaborated and concise overview of state-of-art NLP technologies that have been employed in various aspects of healthcare and medicine. This paper aims to highlight the role of NLP in smart healthcare and its potential to solve the rising challenges of today’s data-driven society.

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Authors and Affiliations

  1. School of Engineering and Technology, Sharda University, Greater Noida, Uttar Pradesh, India

    Nemika Tyagi & Bharat Bhushan

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  1. Nemika Tyagi
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  2. Bharat Bhushan
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  1. Department of Computer Science and Engineering, Jamia Hamdard, New Delhi, Delhi, India

    Mohd Abdul Ahad

  2. CILAB Laboratory Department of Computer Science, University of Bari "Aldo Moro", Via E. Orabona, Bari, Italy

    Gabriella Casalino

  3. Department of Computer Science and Engineering School of Engineering and Technology (SET), Sharda University, Greater Noida, India

    Bharat Bhushan

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Tyagi, N., Bhushan, B. (2023). Natural Language Processing (NLP) Based Innovations for Smart Healthcare Applications in Healthcare 4.0. In: Ahad, M.A., Casalino, G., Bhushan, B. (eds) Enabling Technologies for Effective Planning and Management in Sustainable Smart Cities. Springer, Cham. https://doi.org/10.1007/978-3-031-22922-0_5

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  • DOI: https://doi.org/10.1007/978-3-031-22922-0_5

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