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AI-assisted solutions for COVID-19 and biomedical applications in smart citiesthird EAI International Conference, AISCOVID-19 2022, Braga, Portugal, November 16-18, 2022 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	AI-assisted solutions for COVID-19 and biomedical applications in smart citiesedited by Jose Manuel Machado, Hugo Peixoto.
Reminder of title:	third EAI International Conference, AISCOVID-19 2022, Braga, Portugal, November 16-18, 2022 : proceedings /
remainder title:	AISCOVID-19 2022
other author:	Machado, Jose Manuel.
corporate name:
Published:	Cham :Springer Nature Switzerland :2023.
Description:	ix, 101 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Medical informaticsCongresses.
Online resource:	https://doi.org/10.1007/978-3-031-38204-8
ISBN:	9783031382048$q(electronic bk.)

AI-assisted solutions for COVID-19 and biomedical applications in smart citiesthird EAI International Conference, AISCOVID-19 2022, Braga, Portugal, November 16-18, 2022 : proceedings /
AI-assisted solutions for COVID-19 and biomedical applications in smart citiesthird EAI International Conference, AISCOVID-19 2022, Braga, Portugal, November 16-18, 2022 : proceedings /[electronic resource] :AISCOVID-19 2022edited by Jose Manuel Machado, Hugo Peixoto. - Cham :Springer Nature Switzerland :2023. - ix, 101 p. :ill. (some col.), digital ;24 cm. - Lecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering,4851867-822X ;. - Lecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering ;130..

COVID-19 Global Impact -- Not Necessarily Relaxed: How Work Interruptions affect Users' Perception of Stress in Remote Work Situations -- COVID-19 cases and their impact on global air traffic -- The Impact of contingency measures on the COVID-19 reproduction rate -- AI applied to COVID-19 -- Business Intelligence Platform for COVID-19 Monitoring: A Case Study -- First Clustering Analysis of COVID in Portugal -- Multichannel services for patient home-based care during COVID-19 -- Machine Learning In Healthcare -- Steps Towards Intelligent Diabetic Foot Ulcer Follow-up based on Deep Learning -- Recommendation of Medical Exams to Support Clinical Diagnosis based on Patient's Symptoms.

This book constitutes the refereed post-conference proceedings of the Third International Conference on AI-assisted Solutions for COVID-19 and Biometrical Applications in Smart Cities, AISCOVID-19 2022, held in November 2022 in Braga, Portugal. The 8 full papers of AISCOVID-19 2022 were carefully selected from 21 submissions and present a comprehensive and up-to-date look at the intersection of COVID-19, big data, machine learning, deep learning, and healthcare. The theme of AISCOVID-19 2022 was Healthcare effective and efficient Solutions for COVID-19 that can be achieved using Artificial Intelligence and Computer-Assisted paradigms.

ISBN: 9783031382048$q(electronic bk.)

Standard No.: 10.1007/978-3-031-38204-8doiSubjects--Topical Terms:

384533
Medical informatics
--Congresses.

LC Class. No.: R858.A2

Dewey Class. No.: 610.285

AI-assisted solutions for COVID-19 and biomedical applications in smart citiesthird EAI International Conference, AISCOVID-19 2022, Braga, Portugal, November 16-18, 2022 : proceedings /
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