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230811 ||| eng |
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|a books978-3-0365-7732-6
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|a 9783036577333
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|a 9783036577326
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1 |
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|a Giansanti, Daniele
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| 245 |
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|a The Digital Health in the Pandemic Era
|h Elektronische Ressource
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| 260 |
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|a Basel
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2023
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| 300 |
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|a 1 electronic resource (298 p.)
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| 653 |
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|a e-health
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| 653 |
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|a machine learning
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| 653 |
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|a logistic regression
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| 653 |
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|a Mental health services / bicssc
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| 653 |
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|a magnetic resonance imaging (MRI)
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| 653 |
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|a COVID-19 pandemic
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| 653 |
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|a brain tumor
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| 653 |
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|a health intervention
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| 653 |
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|a COVID-19 prevention
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| 653 |
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|a digital care visit
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| 653 |
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|a human health
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| 653 |
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|a chest X-ray images
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| 653 |
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|a eHealth
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| 653 |
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|a n/a
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|a prevention intention
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| 653 |
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|a healthcare personnel
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| 653 |
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|a feature selection
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| 653 |
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|a IoT
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| 653 |
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|a mental health
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| 653 |
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|a pandemic
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| 653 |
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|a deep learning
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| 653 |
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|a health literacy
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| 653 |
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|a contact tracing
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| 653 |
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|a breast neoplasms
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| 653 |
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|a normative activation model
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| 653 |
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|a IMMUNI app
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| 653 |
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|a self-care
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| 653 |
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|a health
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| 653 |
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|a chronic diseases
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| 653 |
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|a mixed-methods psychotherapy research
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| 653 |
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|a qualitative psychotherapy research
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| 653 |
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|a mental stress
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| 653 |
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|a digital health
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| 653 |
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|a (d)health literacy
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| 653 |
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|a image detection
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| 653 |
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|a telehealth
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| 653 |
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|a mindfulness
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| 653 |
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|a COVID-19
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| 653 |
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|a computer-aided diagnosis
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| 653 |
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|a data classification
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| 653 |
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|a AI
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| 653 |
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|a medical staff
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| 653 |
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|a medical imaging
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| 653 |
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|a exergaming
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| 653 |
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|a hybrid learning
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| 653 |
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|a physical activity
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| 653 |
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|a mobile health
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| 653 |
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|a user experience
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| 653 |
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|a performance evaluation
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| 653 |
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|a tele-health
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| 653 |
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|a obesity
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| 653 |
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|a regression
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| 653 |
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|a health domain
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|a social isolation
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|a lock down
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|a CNN
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|a real-time system
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|a students
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| 653 |
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|a psychotherapy via videoconferencing
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| 653 |
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|a medical data
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| 653 |
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|a artificial intelligence
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| 653 |
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|a classification
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| 653 |
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|a online consultation
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| 653 |
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|a psychotherapy
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| 653 |
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|a chatbot
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| 653 |
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|a e-mental-health
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| 653 |
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|a psychotherapy via telephone
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| 653 |
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|a physical function
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| 653 |
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|a remote psychotherapy
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| 653 |
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|a digital contact tracing
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| 653 |
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|a Medicine and Nursing / bicssc
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| 653 |
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|a health strategy
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| 653 |
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|a YOLOv4
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| 700 |
1 |
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|a Giansanti, Daniele
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
|
| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
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| 024 |
8 |
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|a 10.3390/books978-3-0365-7732-6
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| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/100902
|z DOAB: description of the publication
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| 856 |
4 |
0 |
|u https://www.mdpi.com/books/pdfview/book/7370
|7 0
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 610
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| 082 |
0 |
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|a 658
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| 082 |
0 |
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|a 140
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| 082 |
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|a 700
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| 520 |
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|a Digital health, virtual assistance, and telemedicine are terms often used interchangeably to refer to remote medical assistance, monitoring and care. Several studies and insights have developed these issues, analyzing the advantages and disadvantages and successes and failures and offering reflections on the implications and issues of these technologies in the health domain. The results of these investigations are affecting the redesign of hospital and outpatient management based on digital innovation using eHealth and mHealth. During the COVID-19 pandemic, this approach made it possible to offer assistance and continue care at home, protecting patients, preserving health workers, limiting the spread of the virus, and reducing the need for hospitalization. This reprint contains contributions dealing with the development of DH during the COVID-19 pandemic. The contributions are from various experts in different fields regarding the application of digital health, which, in some cases is also integrated with artificial intelligence, including digital contact tracing, mHealth, virtual reality, mental health, physiology, and rehabilitation.
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