AI for Disease Surveillance and Pandemic Intelligence / Studies in Computational Intelligence Bd.1013 (PDF)
Intelligent Disease Detection in Action
(Sprache: Englisch)
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...
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Produktinformationen zu „AI for Disease Surveillance and Pandemic Intelligence / Studies in Computational Intelligence Bd.1013 (PDF)“
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.
Bibliographische Angaben
- 2022, 1st ed. 2022, 331 Seiten, Englisch
- Herausgegeben: Arash Shaban-Nejad, Martin Michalowski, Simone Bianco
- Verlag: Springer International Publishing
- ISBN-10: 3030930807
- ISBN-13: 9783030930806
- Erscheinungsdatum: 08.03.2022
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 8.15 MB
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Sprache:
Englisch
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