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Computer Science and Health Engineering in Health Services

Author : José Antonio Marmolejo-Saucedo
Publisher : Springer Nature
Page : 249 pages
File Size : 10,90 MB
Release : 2021-02-24
Category : Medical
ISBN : 3030698394

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This book constitutes the refereed post-conference proceedings of the 4th International Conference on Computer Science and Health Engineering in Health Services. Due to COVID-19 pandemic the conference was held virtually. The 16 full papers presented were carefully reviewed and selected from 39 submissions. The papers highlight the latest research innovations and applications of algorithms designed for optimization applications within the fields of science, computer science, engineering, information technology, economics, and health systems.

Computer Science and Engineering in Health Services

Author : José Antonio Marmolejo-Saucedo
Publisher : Springer Nature
Page : 263 pages
File Size : 35,55 MB
Release : 2021-09-28
Category : Medical
ISBN : 3030874958

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This book constitutes the refereed post-conference proceedings of the 5th International Conference on Computer Science and Engineering in Health Services, COMPSE 2021, held in July 2021. Due to COVID-19 pandemic the conference was held virtually. The 17 full papers presented were carefully reviewed and selected from 46 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.

Computer Science and Engineering in Health Services

Author : José Antonio Marmolejo-Saucedo
Publisher : Springer
Page : 0 pages
File Size : 49,10 MB
Release : 2023-10-27
Category : Technology & Engineering
ISBN : 9783031347498

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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.

Computational Technology for Effective Health Care

Author : National Research Council
Publisher : National Academies Press
Page : 121 pages
File Size : 15,7 MB
Release : 2009-02-24
Category : Computers
ISBN : 0309155843

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Despite a strong commitment to delivering quality health care, persistent problems involving medical errors and ineffective treatment continue to plague the industry. Many of these problems are the consequence of poor information and technology (IT) capabilities, and most importantly, the lack cognitive IT support. Clinicians spend a great deal of time sifting through large amounts of raw data, when, ideally, IT systems would place raw data into context with current medical knowledge to provide clinicians with computer models that depict the health status of the patient. Computational Technology for Effective Health Care advocates re-balancing the portfolio of investments in health care IT to place a greater emphasis on providing cognitive support for health care providers, patients, and family caregivers; observing proven principles for success in designing and implementing IT; and accelerating research related to health care in the computer and social sciences and in health/biomedical informatics. Health care professionals, patient safety advocates, as well as IT specialists and engineers, will find this book a useful tool in preparation for crossing the health care IT chasm.

7th EAI International Conference on Computer Science and Engineering in Health Services

Author : José Antonio Marmolejo-Saucedo
Publisher : Springer
Page : 0 pages
File Size : 33,61 MB
Release : 2024-10-20
Category : Technology & Engineering
ISBN : 9783031674396

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This book constitutes the refereed post-conference proceedings of the 7th EAI International Conference, 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.

Data Analysis and Optimization for Engineering and Computing Problems

Author : Pandian Vasant
Publisher : Springer Nature
Page : 280 pages
File Size : 26,53 MB
Release : 2020-09-08
Category : Technology & Engineering
ISBN : 3030481492

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This book presents the proceedings of The EAI International Conference on Computer Science: Applications in Engineering and Health Services (COMPSE 2019). The conference highlighted the latest research innovations and applications of algorithms designed for optimization applications within the fields of Science, Computer Science, Engineering, Information Technology, Management, Finance and Economics and Health Systems. Focusing on a variety of methods and systems as well as practical examples, this conference is a significant resource for post graduate-level students, decision makers, and researchers in both public and private sectors who are seeking research-based methods for modelling uncertain and unpredictable real-world problems.

Medical Informatics

Author : Edward H. Shortliffe
Publisher : Springer Science & Business Media
Page : 880 pages
File Size : 17,73 MB
Release : 2013-11-11
Category : Medical
ISBN : 0387217215

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The practice of modern medicine requires sophisticated information technologies with which to manage patient information, plan diagnostic procedures, interpret laboratory results, and conduct research. Designed for a broad audience, this book fills the need for a high quality reference in computers and medicine, first explaining basic concepts, then illustrating them with specific systems and technologies. Medical Informatics provides both a conceptual framework and a practical inspiration for this swiftly emerging scientific discipline. The second edition covers system design and engineering, ethics of health informatics, system evaluation and technology assessment, public health and consumer use of health information, and healthcare financing.

Building a Better Delivery System

Author : Institute of Medicine
Publisher : National Academies Press
Page : 277 pages
File Size : 13,77 MB
Release : 2005-10-20
Category : Medical
ISBN : 030909643X

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In a joint effort between the National Academy of Engineering and the Institute of Medicine, this books attempts to bridge the knowledge/awareness divide separating health care professionals from their potential partners in systems engineering and related disciplines. The goal of this partnership is to transform the U.S. health care sector from an underperforming conglomerate of independent entities (individual practitioners, small group practices, clinics, hospitals, pharmacies, community health centers et. al.) into a high performance "system" in which every participating unit recognizes its dependence and influence on every other unit. By providing both a framework and action plan for a systems approach to health care delivery based on a partnership between engineers and health care professionals, Building a Better Delivery System describes opportunities and challenges to harness the power of systems-engineering tools, information technologies and complementary knowledge in social sciences, cognitive sciences and business/management to advance the U.S. health care system.

Deep Learning for Personalized Healthcare Services

Author : Vishal Jain
Publisher : Walter de Gruyter GmbH & Co KG
Page : 268 pages
File Size : 42,59 MB
Release : 2021-10-25
Category : Computers
ISBN : 3110708124

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This book uncovers the stakes and possibilities involved in realising personalised healthcare services through efficient and effective deep learning algorithms, enabling the healthcare industry to develop meaningful and cost-effective services. This requires effective understanding, application and amalgamation of deep learning with several other computing technologies, such as machine learning, data mining, and natural language processing.