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
|
| 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 | |
| COVID-19 | |
| Intel·ligència artificial en medicina | |
| Teoria de la codificació | |
| Sistemes d'informació | |
| Informàtica mèdica | |
| Soggetto genere / forma: | Congressos |
| Llibres electrònics | |
| 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: | 9783031382048 |
| 3031382048 | |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910736021103321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, . 1867-822X ; ; 485