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Artificial intelligence in COVID-19

Lidstromer, Niklas.

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Artificial intelligence in COVID-19

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Artificial intelligence in COVID-19/ edited by Niklas Lidstromer, Yonina C. Eldar.
其他作者:	Lidstromer, Niklas.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xii, 340 p. :ill. (some color), digital ;24 cm.
內容註:	1 AI and Pooling Tests for COVID-19 -- 2 AI for Drug Repurposing in the Pandemic Response -- 3 AI and Point Of Care Image Analysis For COVID-19 -- 4 Machine Learning and Laboratory Values in the Diagnosis, Prognosis and Vaccination Strategy of COVID-19 -- 5 AI and the Infectious Medicine of COVID-19 -- 6 AI and ICU Monitoring in COVID-19 -- 7 Symptom Based Detection Models of COVID-19 Infection Using AI -- 8 AI Techniques for Forecasting Epidemic Dynamics: Theory and Practice -- 9 Regulatory Aspects on AI and Pharmacovigilance for COVID-19 -- 10 AI and the Clinical Immunology / Immunoinformatics for COVID-19 -- 11 AI, Epidemiology and Public Health in the Covid Pandemic -- 12 AI and Dynamic Sepsis Prediction in Covid-19.
Contained By:	Springer Nature eBook
標題:	COVID-19 (Disease) - Data processing. -
電子資源:	https://doi.org/10.1007/978-3-031-08506-2
ISBN:	9783031085062

Artificial intelligence in COVID-19
Artificial intelligence in COVID-19[electronic resource] /edited by Niklas Lidstromer, Yonina C. Eldar. - Cham :Springer International Publishing :2022. - xii, 340 p. :ill. (some color), digital ;24 cm.

1 AI and Pooling Tests for COVID-19 -- 2 AI for Drug Repurposing in the Pandemic Response -- 3 AI and Point Of Care Image Analysis For COVID-19 -- 4 Machine Learning and Laboratory Values in the Diagnosis, Prognosis and Vaccination Strategy of COVID-19 -- 5 AI and the Infectious Medicine of COVID-19 -- 6 AI and ICU Monitoring in COVID-19 -- 7 Symptom Based Detection Models of COVID-19 Infection Using AI -- 8 AI Techniques for Forecasting Epidemic Dynamics: Theory and Practice -- 9 Regulatory Aspects on AI and Pharmacovigilance for COVID-19 -- 10 AI and the Clinical Immunology / Immunoinformatics for COVID-19 -- 11 AI, Epidemiology and Public Health in the Covid Pandemic -- 12 AI and Dynamic Sepsis Prediction in Covid-19.

This book deals with the advantages of using artificial intelligence (AI) in the fight against the COVID-19 and against future pandemics that could threat humanity and our environment. This book is a practical, scientific and clinically relevant example of how medicine and mathematics will fuse in the 2020s, out of external pandemic pressure and out of scientific evolutionary necessity. This book contains a unique blend of the world's leading researchers, both in medicine, mathematics, computer science, clinical and preclinical medicine, and presents the research front of the usage of AI against pandemics. Equipped with this book the reader will learn about the latest AI advances against COVID-19, and how mathematics and algorithms can aid in preventing its spreading course, treatments, diagnostics, vaccines, clinical management and future evolution.

ISBN: 9783031085062

Standard No.: 10.1007/978-3-031-08506-2doiSubjects--Topical Terms:

3486187
COVID-19 (Disease)
--Data processing.

LC Class. No.: RA644.C67

Dewey Class. No.: 362.19624140028563

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