TY - GEN AB - 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. AU - Machado, José Manuel, AU - Peixoto, Hugo, CN - R858.A2 DO - 10.1007/978-3-031-38204-8 DO - doi ID - 1472210 KW - Medical informatics KW - Biomedical engineering KW - Artificial intelligence KW - Smart cities KW - COVID-19 (Disease) LK - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-38204-8 N1 - Includes author index. 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. SN - 9783031382048 SN - 3031382048 T1 - 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 / 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 / UR - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-38204-8 VL - 485 ER -