Synergizing Data Envelopment Analysis And Machine Learning For Performance Optimization In Healthcare
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Synergizing Data Envelopment Analysis And Machine Learning For Performance Optimization In Healthcare
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Author : Ajibesin, Adeyemi Abel
language : en
Publisher: IGI Global
Release Date : 2025-05-02
Synergizing Data Envelopment Analysis And Machine Learning For Performance Optimization In Healthcare written by Ajibesin, Adeyemi Abel and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-02 with Medical categories.
Healthcare systems face the challenge of delivering high-quality care while efficiently managing costs and resources. Traditional methods of performance evaluation often fall short when addressing the complex and diverse nature of healthcare operations. Data envelopment analysis (DEA) has been used to measure the efficiency of healthcare providers, but its linear, deterministic nature limits its adaptability to dynamic environments. In contrast, machine learning (ML) can handle complex, non-linear relationships and high-dimensional data, offering deeper insights and predictive capabilities. The synergy between DEA and ML presents an opportunity to overcome these limitations and drive more effective performance optimization. It leads to efficiency assessments through predictive analytics and improved resource allocation with data-driven insights and optimizing clinical pathways and decision support systems for better patient outcomes. Synergizing Data Envelopment Analysis and Machine Learning for Performance Optimization in Healthcare explores the integration of DEA and ML to enhance performance optimization in healthcare, improving efficiency, care quality, and resource management. It examines theoretical foundations, methodological innovations, and practical applications, providing a comprehensive resource with a key focus on development of algorithms to address challenges in healthcare optimization. Covering topics such as healthcare equipment manufacturing, human augmentation, and robotic surgery, this book is an excellent resource for hospital administrators, clinical managers, clinical decision-makers, policymakers, public health officials, professionals, researchers, scholars, academics, and more.
Predictive Intelligence In Biomedical And Health Informatics
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Author : Rajshree Srivastava
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2020-10-12
Predictive Intelligence In Biomedical And Health Informatics written by Rajshree Srivastava and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-12 with Computers categories.
Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as intelligent biomedical image processing and analysis. It develops computational models, methods and tools for biomedical engineering related to computer-aided diagnostics (CAD), computer-aided surgery (CAS), computational anatomy and bioinformatics. Large volumes of complex data are often a key feature of biomedical and engineering problems and computational intelligence helps to address such problems. Practical and validated solutions to hard biomedical and engineering problems can be developed by the applications of neural networks, support vector machines, reservoir computing, evolutionary optimization, biosignal processing, pattern recognition methods and other techniques to address complex problems of the real world.
Human Autonomy In Cross Cultural Context
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Author : Valery I. Chirkov
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-12-02
Human Autonomy In Cross Cultural Context written by Valery I. Chirkov and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12-02 with Psychology categories.
This volume presents the reader with a stimulating tapestry of essays exploring the nature of personal autonomy, self-determination, and agency, and their role in human optimal functioning at multiple levels of analysis from personal to societal and cross-cultural. The starting point for these explorations is self-determination theory, an integrated theory of human motivation and healthy development which has been under development for more than three decades (Deci & Ryan, 2000). As the contributions will make clear, psychological autonomy is a concept that forms the bridge between the dependence of human behavior on biological and socio-cultural determinants on the one side, and people’s ability to be free, reflective, and transforming agents who can challenge these dependencies, on the other. The authors within this volume share a vision that human autonomy is a fundamental pre-condition for both individuals and groups to thrive, and that without understanding the nature and mechanisms of autonomous agency vital social and human problems cannot be satisfactory addressed. This multidisciplinary team of researchers will collectively explore the nature of personal autonomy, considering its developmental origins, its expression within relationships, its importance within groups and organizational functioning, and its role in promoting to the democratic and economic development of societies. The book is aimed toward developmental, social, personality, and cross-cultural psychologists, towards researchers and practitioners’ in the areas of education, health and medicine, social work and, economics, and also towards all interested in creating a more sustainable and just world society through promoting individual freedom and agency. This volume will provide a theoretical and conceptual account of the nature and psychological mechanisms of personal motivational autonomy and human agency; richmultidisciplinary empirical evidence supporting the claims and propositions about the nature of human autonomy and capacities for self-regulation; explanations of how and why different psychological and socio-cultural conditions may play a role in promoting or undermining people’s autonomous motivation and well-being, discussions of how the promotion of human autonomy can positively influence environmental protection, democracy promotion and economic prosperity.
Cognitive Informatics
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Author : Kai Zheng
language : en
Publisher: Springer
Release Date : 2019-07-25
Cognitive Informatics written by Kai Zheng and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-25 with Medical categories.
This timely book addresses gaps in the understanding of how health information technology (IT) impacts on clinical workflows and how the effective implementation of these workflows are central to the safe and effective delivery of care to patients. It features clearly structured chapters covering a range of topics, including aspects of clinical workflows relevant to both practitioners and patients, tools for recording clinical workflow data techniques for potentially redesigning health IT enabled care coordination. Cognitive Informatics: Reengineering Clinical Workflow for More Efficient and Safer Care enables readers to develop a deeper understanding of clinical workflows and how these can potentially be modified to facilitate greater efficiency and safety in care provision, providing a valuable resource for both biomedical and health informatics professionals and trainees.
Lifelogging
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Author : Cathal Gurrin
language : en
Publisher:
Release Date : 2014
Lifelogging written by Cathal Gurrin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Data logging categories.
We have recently observed a convergence of technologies to foster the emergence of lifelogging as a mainstream activity. Computer storage has become significantly cheaper, and advancements in sensing technology allows for the efficient sensing of personal activities, locations and the environment. This is best seen in the growing popularity of the quantified self movement, in which life activities are tracked using wearable sensors in the hope of better understanding human performance in a variety of tasks. This review aims to provide a comprehensive summary of lifelogging, to cover its research history, current technologies, and applications. Thus far, most of the lifelogging research has focused predominantly on visual lifelogging in order to capture life details of life activities, hence we maintain this focus in this review. However, we also reflect on the challenges lifelogging poses to an information retrieval scientist. This review is a suitable reference for those seeking an information retrieval scientist's perspective on lifelogging and the quantified self.
Responsible Ai And Analytics For An Ethical And Inclusive Digitized Society
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Author : Denis Dennehy
language : en
Publisher: Springer Nature
Release Date : 2021-08-25
Responsible Ai And Analytics For An Ethical And Inclusive Digitized Society written by Denis Dennehy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-25 with Computers categories.
This volume constitutes the proceedings of the 20th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2021, held in Galway, Ireland, in September 2021.* The total of 57 full and 8 short papers presented in these volumes were carefully reviewed and selected from 141 submissions. The papers are organized in the following topical sections: AI for Digital Transformation and Public Good; AI & Analytics Decision Making; AI Philosophy, Ethics & Governance; Privacy & Transparency in a Digitized Society; Digital Enabled Sustainable Organizations and Societies; Digital Technologies and Organizational Capabilities; Digitized Supply Chains; Customer Behavior and E-business; Blockchain; Information Systems Development; Social Media & Analytics; and Teaching & Learning. *The conference was held virtually due to the COVID-19 pandemic.
Better Ehr
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Author : Jiajie Zhang (Professor of biomedical informatics)
language : en
Publisher:
Release Date : 2014-10-01
Better Ehr written by Jiajie Zhang (Professor of biomedical informatics) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-01 with categories.
Electronic Health Records (EHR) offer great potential to increase healthcare efficiency, improve patient safety, and reduce health costs. The adoption of EHRs among office-based physicians in the US has increased from 20% ten years ago to over 80% in 2014. Among acute care hospitals in US, the adoption rate today is approaching 100%. Finding relevant patient information in electronic health records' (EHRs) large datasets is difficult, especially when organized only by data type and time. Automated clinical summarization creates condition-specific displays, promising improved clinician efficiency. However, automated summarization requires new kinds of clinical knowledge (e.g., problem-medication relationships).
Sustainable Procurement In Supply Chain Operations
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Author : Sachin K. Mangla
language : en
Publisher: CRC Press
Release Date : 2019-05-31
Sustainable Procurement In Supply Chain Operations written by Sachin K. Mangla and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-31 with Business & Economics categories.
Sustainable Procurement is an emerging concept in supply chain and operations management. Manufacturing industries have made improvements in moving from cost-based to quality-based, and customer-focused supply chain management strategies. This is becoming an integrated component in the supply chain system, with players becoming aware of the regulations and needs of the customer. It is imperative for production firms to look at the procurement activity as one of the strategic enablers for sustaining the business in the competitive global environment. This book will provide industries with an understanding of the concepts related to sustainable procurement policies and its implementation. Provides decision and theory development models in sustainable procurement supply chains Includes contributions in all three major analytics: descriptive, predictive, and perspectives in the context of sustainable procurement supply chain Discusses new business models with suppliers and opportunities for co-branding Covers how to develop new tools to measure and allocate the gains from sustainable practices among stakeholders Analyses the science of translating data into meaningful and actionable insights
Machine Learning And Ai For Healthcare
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Author : Arjun Panesar
language : en
Publisher: Apress
Release Date : 2019-02-04
Machine Learning And Ai For Healthcare written by Arjun Panesar and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-04 with Computers categories.
Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges. You’ll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization. You’ll also create a machine learning model, evaluate performance and operationalize its outcomes within your organization. Machine Learning and AI for Healthcare provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of AI applications. These are illustrated through leading case studies, including how chronic disease is being redefined through patient-led data learning and the Internet of Things. What You'll Learn Gain a deeper understanding of key machine learning algorithms and their use and implementation within wider healthcare Implement machine learning systems, such as speech recognition and enhanced deep learning/AI Select learning methods/algorithms and tuning for use in healthcare Recognize and prepare for the future of artificial intelligence in healthcare through best practices, feedback loops and intelligent agents Who This Book Is For Health care professionals interested in how machine learning can be used to develop health intelligence – with the aim of improving patient health, population health and facilitating significant care-payer cost savings.
Machine Learning For Healthcare
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Author : Rashmi Agrawal
language : en
Publisher: CRC Press
Release Date : 2020-12-08
Machine Learning For Healthcare written by Rashmi Agrawal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-08 with Health & Fitness categories.
Machine Learning for Healthcare: Handling and Managing Data provides in-depth information about handling and managing healthcare data through machine learning methods. This book expresses the long-standing challenges in healthcare informatics and provides rational explanations of how to deal with them. Machine Learning for Healthcare: Handling and Managing Data provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of machine learning applications. These are illustrated in a case study which examines how chronic disease is being redefined through patient-led data learning and the Internet of Things. This text offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare. Readers will discover the ethical implications of machine learning in healthcare and the future of machine learning in population and patient health optimization. This book can also help assist in the creation of a machine learning model, performance evaluation, and the operationalization of its outcomes within organizations. It may appeal to computer science/information technology professionals and researchers working in the area of machine learning, and is especially applicable to the healthcare sector. The features of this book include: A unique and complete focus on applications of machine learning in the healthcare sector. An examination of how data analysis can be done using healthcare data and bioinformatics. An investigation of how healthcare companies can leverage the tapestry of big data to discover new business values. An exploration of the concepts of machine learning, along with recent research developments in healthcare sectors.