04049nam a22005415i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001800172072001600190072002300206072001500229245030000244250001800544264007500562300006600637336002600703337002600729338003600755347002400791490007200815505076600887520085501653650002302508650003202531650002602563650004202589650002402631650005102655700010302706700009602809700008502905700008602990700009303076710003403169773002603203776003603229776003603265776003603301830007903337856004603416912001403462912001403476999001703490978-3-031-34750-4DE-He21320251030110816.0cr nn 008mamaa230923s2024    sz |    s    |||| 0|eng d  a97830313475049978-3-031-34750-47 a10.1007/978-3-031-34750-42doi 4aTK5101-5105.9 7aTJK2bicssc 7aTEC0410002bisacsh 7aTJK2thema10aComputer Science and Engineering in Health Servicesh[electronic resource] :b6th EAI International Conference Proceedings, COMPSE 2022, Mexico City, July 28, 2022 /cedited by José Antonio Marmolejo-Saucedo, Roman Rodríguez-Aguilar, Pandian Vasant, Igor Litvinchev, Brenda M. Retana-Blanco.  a1st ed. 2024. 1aCham :bSpringer International Publishing :bImprint: Springer,c2024.  aXV, 288 p. 122 illus., 110 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aEAI/Springer Innovations in Communication and Computing,x2522-86090 aChapter 1. Introduction -- Chapter 2. Computer and Data Science -- Chapter 3. Artificial Intelligence tools and applications -- Chapter 4. Machine learning for optimization -- Chapter 5. Intelligent Systems -- Chapter 6. Cyber-physical systems -- Chapter 7. Internet of medical things -- Chapter 8. Blockchain technology in healthcare -- Chapter 9. Robotics in the healthcare industry -- Chapter 10. Mixed realities -- Chapter 11. Optimization, simulation and predictive analytics in healthcare -- Chapter 12. Health care systems optimization -- Chapter 13. Health care delivery, measurement, and modeling -- Chapter 14. Health information systems -- Chapter 15. Environmental health -- Chapter 16. Economic analysis of health systems -- Chapter 17. Conclusion.  aThis book constitutes the refereed post-conference proceedings of the 6th EAI International Conference Computer on Science and Engineering in Health Services (COMPSE 2022), which took place in Mexico City and online, June 28th, 2022. 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 6th EAI International Conference on Computer Science and Engineering in Health Services (COMPSE 2022); 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. 0aTelecommunication. 0aMedical informatics.960693 0aApplication software.14aCommunications Engineering, Networks.24aHealth Informatics.24aComputer and Information Systems Applications.1 aMarmolejo-Saucedo, José Antonio.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9597621 aRodríguez-Aguilar, Roman.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9661461 aVasant, Pandian.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9661471 aLitvinchev, Igor.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9661481 aRetana-Blanco, Brenda M.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9661492 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303134749808iPrinted edition:z978303134751108iPrinted edition:z9783031347528 0aEAI/Springer Innovations in Communication and Computing,x2522-860996569540uhttps://doi.org/10.1007/978-3-031-34750-4  aZDB-2-ENG  aZDB-2-SXE  c56305d56305