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AI-assisted Solutions for COVID-19 and Biomedical Applications in Smart Cities : Third EAI International Conference, AISCOVID-19 2022, Braga, Portugal, November 16-18, 2022, Proceedings / / edited by José Manuel Machado, Hugo Peixoto



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Autore: Machado José Manuel Visualizza persona
Titolo: AI-assisted Solutions for COVID-19 and Biomedical Applications in Smart Cities : Third EAI International Conference, AISCOVID-19 2022, Braga, Portugal, November 16-18, 2022, Proceedings / / edited by José Manuel Machado, Hugo Peixoto Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Edizione: 1st ed. 2023.
Descrizione fisica: 1 online resource (106 pages)
Disciplina: 610.285
Soggetto topico: Medical informatics
Data structures (Computer science)
Information theory
Coding theory
Application software
Information storage and retrieval systems
Health Informatics
Data Structures and Information Theory
Coding and Information Theory
Computer and Information Systems Applications
Information Storage and Retrieval
Altri autori: PeixotoHugo  
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: AI-Assisted Solutions for COVID-19 and Biomedical Applications in Smart Cities  Visualizza cluster
ISBN: 3-031-38204-8
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910736021103321
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Serie: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, . 1867-822X ; ; 485