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Artificial Intelligence of Things for Smart Healthcare Development: An Experimental Review
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Author(s): Jennyfer Susan M. B. (Centre for Machine Learning and Intelligence, Avinashilingam Institute for Home Science and Higher Education for Women, India), P. Subashini (Centre for Machine Learning and Intelligence, Avinashilingam Institute for Home Science and Higher Education for Women, India)and M. Krishnaveni (Centre for Machine Learning and Intelligence, Avinashilingam Institute for Home Science and Higher Education for Women, India)
Copyright: 2023
Pages: 32
Source title:
Handbook of Research on Deep Learning Techniques for Cloud-Based Industrial IoT
Source Author(s)/Editor(s): P. Swarnalatha (Department of Information Security, School of Computer Science and Engineering, Vellore Institute of Technology, India)and S. Prabu (Department Banking Technology, Pondicherry University, India)
DOI: 10.4018/978-1-6684-8098-4.ch003
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Abstract
Smart healthcare systems are the health services that use the technologies like wearable devices, internet of things (IoT), and mobile internet to access medical information dynamically. It connects people, materials, and institutions related to healthcare; actively manages; and automatically responds to medical ecosystem needs. It helps the traditional medical system in making healthcare more efficient, convenient, and personalized. This chapter proposed (1) a review of smart healthcare development using artificial intelligence, the internet of things, and smartphone Android apps; (2) an experimental approach using IoT-based smart monitoring systems, Android apps for data collection, and artificial algorithms to predict cervical cancer diseases; (3) the integration of IoT and AI algorithms. Artificial intelligence of things (AIoT) is proposed in this chapter as an experimental method for predicting cervical cancer from smart colposcopy images. The literature published in international journals and proceedings between 2010 and June 2022 is considered for the study.
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