Computer Science and Engineering in Health Services -

Computer Science and Engineering in Health Services

6th EAI International Conference Proceedings, COMPSE 2022, Mexico City, July 28, 2022
Buch | Hardcover
XV, 288 Seiten
2023 | 1st ed. 2024
Springer International Publishing (Verlag)
978-3-031-34749-8 (ISBN)
235,39 inkl. MwSt

This 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.

Jose Antonio Marmolejo is a Professor at Panamerican University, Mexico. He received his Doctorate in Operations Research (Hons) from the National Autonomous University of Mexico. At present, Prof. Marmolejo has the second-highest country-wide distinction granted by the Mexican National System of Research Scientists for scientific merit (SNI Fellow, Level 2). He is a member of the Network for Decision Support and Intelligent Optimization of Complex and Large Scale Systems, Mexican Society for Operations Research, and System Dynamics Society. He has authored over thirty research articles in journals, books, and conference proceedings. His research areas are operations research, largescale optimization techniques, computational techniques, analytical methods for planning, operations, and control of electric energy and logistic systems, sustainable supply chain design, and digital twins in supply chains. Roman Rodriguez received his Doctorate in Economic Sciences from the Higher School of Economics of the National Polytechnic Institute. He has a Master's degree in Engineering from the Faculty of Engineering of the National Autonomous University of Mexico (UNAM), a Master's degree in Administration and Public Policy from the School of Government and Public Policy of the Monterrey Institute of Technology and Higher Studies. He graduated in Applied Statistics at the Institute of Research in Applied Mathematics and Systems of the UNAM. He has worked as a specialist in economics, statistics, simulation, finance and optimization, occupying different high-level positions in various public and private entities. His research focuses on large-scale mathematical optimization, evolutionary calculus, statistical learning, computational intelligence, mathematical finance, health economics, energy economics, competition, and economic regulation. He is the author of various research articles in indexed scientific journals and book chapters, and has participated as a keynote speaker at various International Congresses. Dr. Pandian Vasant is a senior lecturer at Universiti Teknologi Petronas, Malaysia and an Editor-in-Chief of International Journal of Energy Optimization and Engineering (IJEOE). He holds Ph.D. in Computational Intelligence (UNEM, Costa Rica), M.Sc. (University Malaysia Sabah, Malaysia, Engineering Mathematics) and B.Sc. (Hons, Second Class Upper) in Mathematics (University of Malaya, Malaysia). His research interests include Soft Computing, Hybrid Optimization, Innovative Computing and Applications. He has co-authored research articles in journals, conference proceedings, presentation, special issues guest editor, book chapters (248 publications indexed in Web of Science) and General Chair of EAI International Conference on Computer Science and Engineering in Penang, Malaysia (2016) and Bangkok, Thailand (2018). In the year 2009 and 2015, Dr. Pandian Vasant was awarded top reviewer and outstanding reviewer for the journal Applied Soft Computing (Elsevier). He has 27 years of working experiences at the universities. Currently he is an Editor-in-Chief of International Journal of Energy Optimization and Engineering, and Member of AMS (USA), NAVY Research Group (TUO, Czech Republic) and MERLIN Research Group (TDTU, Vietnam). Igor Litvinchev Professor Igor Litvinchev received his M.Sc. degree in Applied Mathematics from Moscow Institute of Physics and Technology (Fizteh), Russia; Ph.D. in Systems Theory and Operations Research and Dr.Sci. (Habilitation) in Systems Modeling and Optimization from Computing Center, Russian Academy of Sciences, Moscow. He has held long term visiting positions at universities in Brazil, Mexico, and Norway, as well as positions at various universities and research centers in Russia. He is currently a Head of Department at Computing Center Russian Academy of Sciences and Professor at Nuevo Leon State University, Mexico. He is an author of 4 books and numerous research papers focused on large-scale systems modeling, optimization, and control. His research was supported by more than 30 grants from NATO Scientific Affairs Division and European Community; ISF (USA) and RFBR (Russia); CNPq and FAPESP (Brasil); BRFBR (Belarus); CONACYT, PROMEP and PAICYT (Mexico). Professor Litvinchev is a member of Russian Academy of Natural Sciences and Mexican Academy of Sciences. Brenda Retana-Blanco is a dynamic, enthusiastic, senior operations analyst and consultant. She has 11 years in the education sector and 5 years of experience in the insurance and services industry. She is the Head of Industrial Engineering Department at Universidad Anahuac.

Chapter 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.

Erscheinungsdatum
Reihe/Serie EAI/Springer Innovations in Communication and Computing
Zusatzinfo XV, 288 p. 122 illus., 110 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 613 g
Themenwelt Mathematik / Informatik Informatik
Technik Elektrotechnik / Energietechnik
Technik Nachrichtentechnik
Schlagworte Artificial Intelligence • Computer Networks • Computer Science • Computer systems • computer vision • Correlation Analysis • Databases • Data communication systems • Economics • Engineering • Image Processing • Information Technology • Internet • logistics • Mathematics • Network Protocols • Signal Processing • Software Design • Software engineering • Telecommunication networks
ISBN-10 3-031-34749-8 / 3031347498
ISBN-13 978-3-031-34749-8 / 9783031347498
Zustand Neuware
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