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Integration of Machine Learning and IoT in Healthcare Domain

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Hybrid Artificial Intelligence and IoT in Healthcare

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 209))

Abstract

Recent advancement in technology has been fruitful in the unification of Internet of things and machine learning in numerous domains. While IoT is involved in aggregation of data and resources, data analysis, expansion of data, learning and taking decision action on input data is taken care of by machine learning approach. The combination of these two technologies can be of great help in clinical sector in generation of a receptive and interrelated environment, thereby providing various services to healthcare staffs and patients. IoT devices are based on developing smart applications for medical usability like wearable modules, smart capsules, and sensory-based units to assist medical personnel in gathering data. Models based on machine learning are used to analyze and detect several variations in health status of a patient, suggest diagnosis methods and alternatives, thereby improving patient’s health outcome. This chapter discusses the role of machine learning as well as IoT in healthcare domain. Feasible and ongoing vital applications of both machine learning and IoT are highlighted. A framework for medical IoT along with possible solutions for medical IoT is presented. Future trends related to the integration of these two approaches are pointed out. Later an intelligent and smart prototype model for disease identification is discussed.

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Author information

Authors and Affiliations

  1. School of Computer Engineering, KIIT Deemed To Be University, Bhubaneswar, India

    Ananya Chattopadhyay & Sushruta Mishra

  2. Research Group on Agent-Based, Social and Interdisciplinary Applications (GRASIA), Complutense University of Madrid, 28040, Madrid, Spain

    Alfonso González-Briones

  3. BISITE Research Group, University of Salamanca, Calle Espejo s/n. Edificio Multiusos I+D+i, 37007, Salamanca, Spain

    Alfonso González-Briones

  4. Air Institute, IoT Digital Innovation Hub, Calle Segunda 4, 37188, Salamanca, Spain

    Alfonso González-Briones

Authors
  1. Ananya Chattopadhyay
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  2. Sushruta Mishra
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  3. Alfonso González-Briones
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Sikkim Manipal Institute of Technology (SMIT), Sikkim Manipal University, Majitar, Sikkim, India

    Akash Kumar Bhoi

  2. School of Computer Engineering, Kalinga Institute of Industrial Technology Deemed to be University, Bhubaneswar, Odisha, India

    Pradeep Kumar Mallick

  3. Department of Electronics and Communication Engineering, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India

    Mihir Narayana Mohanty

  4. Graduate Program on Teleinformatics Engineering, Federal University of Ceará, Fortaleza, Brazil

    Victor Hugo C. de Albuquerque

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Chattopadhyay, A., Mishra, S., González-Briones, A. (2021). Integration of Machine Learning and IoT in Healthcare Domain. In: Kumar Bhoi, A., Mallick, P.K., Narayana Mohanty, M., Albuquerque, V.H.C.d. (eds) Hybrid Artificial Intelligence and IoT in Healthcare. Intelligent Systems Reference Library, vol 209. Springer, Singapore. https://doi.org/10.1007/978-981-16-2972-3_11

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