Artificial intelligence in healthcare and COVID-19. (2023)
- Record Type:
- Book
- Title:
- Artificial intelligence in healthcare and COVID-19. (2023)
- Main Title:
- Artificial intelligence in healthcare and COVID-19
- Further Information:
- Note: Edited by Parag Chatterjee, Massimo Esposito.
- Editors:
- Chatterjee, Parag, 1992-
Esposito, Massimo - Contents:
- 1. Introduction 2. Technological solutions regarding mental health of frontline healthcare workers during COVID-19 pandemic using artifical intelligence 3. Effective algorithms for solving statistical problems posed by the COVID-19 andemic 4. Artifical intelligence to analyse pharmaceutical interventions for COVID-19 5. Covid-19: artificial intelligence solutions, prediction with country cluster analysis and time series forecasting 6. Graph convolutional networks for pain detection via telehealth 7. The role of social media in the battle against COVID-19 8. De-identification techniques to preserve privacy in medical record 9. Estimation of COVID-19 fatality associated to different SARS-CoV-2 variants 10. Artificial intelligence for segmenting CT chest imaging in the fight of COVID-19
- Publisher Details:
- Amsterdam : Academic Press
- Publication Date:
- 2023
- Extent:
- 1 online resource (320 pages), illustrations (black and white, and colour)
- Subjects:
- 610.28563
Artificial intelligence -- Medical applications
COVID-19 (Disease) -- Data processing - Languages:
- English
- ISBNs:
- 9780323905732
- Related ISBNs:
- 9780323905312
- Notes:
- Note: Description based on CIP data; resource not viewed.
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.782696
- Ingest File:
- 20_022.xml