@inbook{e82fcce874224bd7b012a3bd21c720da,
title = "Smart Healthcare",
abstract = "This chapter first defines smart healthcare and smart healthcare technologies. After observing changes in the number of smart healthcare applications explored before, during, and after the COVID-19 pandemic, we have to question the sustainability of smart healthcare applications. Answering this question requires a reassessment of the sustainability of each smart healthcare application. To this end, some common smart healthcare applications, including smartphone applications (apps), smartwatch applications, location-aware services (LASs), telemedicine and telecare, Internet of Things (IoT) applications, machine learning (ML) and deep learning (DL) applications, are first introduced by reviewing examples from the literature. The sustainabilities of these smart healthcare applications are then subjectively estimated. However, the actual sustainability of each smart healthcare application will be determined on a case-by-case basis and should be compared with those of other applications.",
keywords = "COVID-19 pandemic, Deep learning, Explainable artificial intelligence, Internet of things, Machine learning, Smart healthcare, Smart healthcare technology, Sustainability",
author = "Chen, {Tin Chih Toly}",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s).",
year = "2023",
doi = "10.1007/978-3-031-37146-2_1",
language = "English",
series = "SpringerBriefs in Applied Sciences and Technology",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "1--18",
booktitle = "SpringerBriefs in Applied Sciences and Technology",
address = "德國",
}