In the last years monitor the health status of the people has become a one of the major IoT research filed application. Many works and proposal are been presented in literature, some with a specific focus and other with a general purpose objective. From this motivation in this chapter we analyze in dept the state of the art, focusing on the (i) architectural aspects and (ii) algorithm system point of view.

Smart Healthcare, IoT and Machine Learning: A Complete Survey / V. Bellandi, P. Ceravolo, E. Damiani, S. Siccardi (INTELLIGENT SYSTEMS REFERENCE LIBRARY). - In: Handbook of Artificial Intelligence in Healthcare. 2: Practicalities and Prospects / [a cura di] C.-P. Lim, Y.-W. Chen, A. Vaidya, C. Mahorkar, L.C. Jain. - [s.l] : Springer, 2022. - ISBN 978-3-030-83620-7. - pp. 307-330 [10.1007/978-3-030-83620-7_13]

Smart Healthcare, IoT and Machine Learning: A Complete Survey

V. Bellandi;P. Ceravolo;E. Damiani;S. Siccardi
2022

Abstract

In the last years monitor the health status of the people has become a one of the major IoT research filed application. Many works and proposal are been presented in literature, some with a specific focus and other with a general purpose objective. From this motivation in this chapter we analyze in dept the state of the art, focusing on the (i) architectural aspects and (ii) algorithm system point of view.
Analytics; Cloud computation; Internet of Things (IoTs); Machine learning; Smart healthcare
Settore INF/01 - Informatica
2022
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/894371
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