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7th EAI International Conference on Computer Science and Engineering in Health Services [electronic resource] : COMPSE 2023 / edited by José Antonio Marmolejo-Saucedo, Idalia Flores De La Mota, Roman Rodriguez-Aguilar, Liliana Marmolejo-Saucedo, Miriam Rodriguez-Aguilar, Igor Litvinchev, Pandian Vasant, Utku Kose.

Contributor(s): Material type: TextSeries: EAI/Springer Innovations in Communication and ComputingPublisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XIII, 272 p. 79 illus., 59 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031674402
Subject(s):
Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleLOC classification:
  • TK5101-5105.9
Online resources:
Contents:
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.
In: Springer Nature eBookSummary: 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. .
Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)
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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.

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. .

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