Overview
- Highlights latest achievements in the use of artificial intelligence for disease surveillance, pandemic intelligence
- Interconnects three major fields: Artificial intelligence, Medicine and clinical and public health informatics
- Makes the emerging topics of digital health and AI in medicine accessible to a broad readership
Part of the book series: Studies in Computational Intelligence (SCI, volume 1013)
Included in the following conference series:
Conference proceedings info: W3PHAI 2021.
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Table of contents (23 chapters)
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Front Matter
Keywords
About this book
This book aims to highlight the latest achievements in the use of artificial intelligence for digital disease surveillance, pandemic intelligence, as well as public and clinical health surveillance. The edited book contains selected papers presented at the 2021 Health Intelligence workshop, co-located with the Association for the Advancement of Artificial Intelligence (AAAI) annual conference, and presents an overview of the issues, challenges, and potentials in the field, along with new research results. While disease surveillance has always been a crucial process, the recent global health crisis caused by COVID-19 has once again highlighted our dependence on intelligent surveillance infrastructures that provide support for making sound and timely decisions. This book provides information for researchers, students, industry professionals, and public health agencies interested in the applications of AI in population health and personalized medicine.
Editors and Affiliations
Bibliographic Information
Book Title: AI for Disease Surveillance and Pandemic Intelligence
Book Subtitle: Intelligent Disease Detection in Action
Editors: Arash Shaban-Nejad, Martin Michalowski, Simone Bianco
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-93080-6
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-93079-0Published: 09 March 2022
Softcover ISBN: 978-3-030-93082-0Published: 10 March 2023
eBook ISBN: 978-3-030-93080-6Published: 08 March 2022
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XIX, 331
Number of Illustrations: 24 b/w illustrations, 63 illustrations in colour
Topics: Computational Intelligence, Biomedical Engineering and Bioengineering, Data Engineering, Artificial Intelligence