TY  - BOOK
AU  - Machado,José Manuel
AU  - Peixoto,Hugo
ED  - SpringerLink (Online service)
TI  - 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 
T2  - Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,
SN  - 9783031382048
AV  - R858-859.7 
U1  - 610.285 23
PY  - 2023///
CY  - Cham
PB  - Springer Nature Switzerland, Imprint: Springer
KW  - Medical informatics
KW  - Data structures (Computer science)
KW  - Information theory
KW  - Coding theory
KW  - Application software
KW  - Information storage and retrieval systems
KW  - Health Informatics
KW  - Data Structures and Information Theory
KW  - Coding and Information Theory
KW  - Computer and Information Systems Applications
KW  - Information Storage and Retrieval
N1  - Acceso multiusuario; 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
N2  - 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
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-38204-8
ER  -