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.File | Dimensione | Formato | |
---|---|---|---|
Chapter (3).pdf
accesso riservato
Tipologia:
Pre-print (manoscritto inviato all'editore)
Dimensione
199.73 kB
Formato
Adobe PDF
|
199.73 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.