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Autore: | Machado José Manuel |
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 |
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 |
ISBN: | 3-031-38204-8 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910736021103321 |
Lo trovi qui: | Univ. Federico II |
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