Abstract
Towards the end of 2020, the human race will enter another decade of the millennium. Being the powerful tool of technological advancement, the Internet has taught many big deals to the people, and yet another change will eventually happen as the years pass by. Machine learning has brought excellent consequences in almost all business sectors, and it has revolutionized the execution and management of various processes. For example, Industry 4.0, digital enterprise transformation, hospitality and tourism, education and e-learning platforms, hospitals and healthcare systems have been impacted by machine learning. Intelligent healthcare is the prominent sector utilizing the integrated approach of machine learning and artificial intelligence. Recent coronavirus disease (COVID-19) has impacted healthcare services. Digital technology played a significant role in gathering data on disease symptoms, statistics and contact tracing. Conventional healthcare systems are upgraded, and their effectiveness is enhanced with machine learning. This chapter explores machine learning techniques and tools used in machine learning to enhance efficiency of intelligent healthcare. The content discussed here explains the extremely powerful learning algorithms that are revolutionizing healthcare. There is discussion about big data and IoT in the later sections. Big data when integrated with the Internet of Things has produced excellent outcomes in intelligent healthcare.
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Jahan, T. (2021). Machine Learning with IoT and Big Data in Healthcare. In: Bhatia, S., Dubey, A.K., Chhikara, R., Chaudhary, P., Kumar, A. (eds) Intelligent Healthcare. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-67051-1_5
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DOI: https://doi.org/10.1007/978-3-030-67051-1_5
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