TY  - BOOK
AU  - Marmolejo-Saucedo,José Antonio
AU  - De La Mota,Idalia Flores
AU  - Rodriguez-Aguilar,Roman
AU  - Marmolejo-Saucedo,Liliana
AU  - Rodriguez-Aguilar,Miriam
AU  - Litvinchev,Igor
AU  - Vasant,Pandian
AU  - Kose,Utku
ED  - SpringerLink (Online service)
TI  - 7th EAI International Conference on Computer Science and Engineering in Health Services: COMPSE 2023 
T2  - EAI/Springer Innovations in Communication and Computing,
SN  - 9783031674402
AV  - TK5101-5105.9 
U1  - 621.382 23
PY  - 2024///
CY  - Cham
PB  - Springer Nature Switzerland, Imprint: Springer
KW  - Telecommunication
KW  - Medical informatics
KW  - Application software
KW  - Communications Engineering, Networks
KW  - Health Informatics
KW  - Computer and Information Systems Applications
N1  - Introduction -- Computer and Data Science -- Artificial Intelligence tools and applications -- Machine learning for optimization -- Intelligent Systems -- Cyber-physical systems -- Internet of medical things -- Blockchain technology in healthcare -- Robotics in the healthcare industry -- Mixed realities -- Optimization, simulation and predictive analytics in healthcare -- Health care systems optimization -- Health care delivery, measurement, and modeling -- Health information systems -- Environmental health -- Economic analysis of health systems -- Conclusion
N2  - This book constitutes the refereed post-conference proceedings of the 7th EAI International Conference on Computer Science and Engineering in Health Services (COMPSE 2023), which took place November 16-17, 2023, in Mexico City, Mexico. The full papers presented were carefully reviewed and selected from dozens of submissions. The papers are grouped on thematic topics: application of tools delivered by the COVID-19 pandemic; health services; computer and data science; and industry 4.0 in logistics and supply chain. The content is relevant to researchers, academics, students and professionals. Presents the proceedings of the 7th EAI International Conference on Computer Science and Engineering in Health Services 2023; Includes topics such as computer and data science, AI tools and applications, and machine learning for optimization; Relevant to researchers, academics, students and professionals in communications engineering.
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-67440-2
ER  -