Application Of Advanced Optimization Techniques For Healthcare Analytics
DOWNLOAD
Download Application Of Advanced Optimization Techniques For Healthcare Analytics PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Application Of Advanced Optimization Techniques For Healthcare Analytics book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Application Of Advanced Optimization Techniques For Healthcare Analytics
DOWNLOAD
Author : Mohamed Abdel-Basset
language : en
Publisher: CRC Press
Release Date : 2023-04-11
Application Of Advanced Optimization Techniques For Healthcare Analytics written by Mohamed Abdel-Basset and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-11 with Computers categories.
Application of Advanced Optimization Techniques for Healthcare Analytics, 1st Edition, is an excellent compilation of current and advanced optimization techniques which can readily be applied to solve different hospital management problems. The healthcare system is currently a topic of significant investigation to make life easier for those who are disabled, old, or sick, as well as for young children. The emphasis of the healthcare system has evolved throughout time due to several emerging beneficial technologies, such as personal digital assistants (PDAs), data mining, the internet of things, metaheuristics, fog computing, and cloud computing. Metaheuristics are strong technology for tackling several optimization problems in various fields, especially healthcare systems. The primary advantage of metaheuristic algorithms is their ability to find a better solution to a healthcare problem and their ability to consume as little time as possible. In addition, metaheuristics are more flexible compared to several other optimization techniques. These algorithms are not related to a specific optimization problem but could be applied to any optimization problem by making some small adaptations to become suitable to tackle it. The successful outcome of this book will enable a decision-maker or practitioner to pick a suitable optimization approach when making decisions to schedule patients under crowding environments with minimized human errors.
Handbook Of Healthcare Operations Management
DOWNLOAD
Author : Brian T. Denton
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-02-28
Handbook Of Healthcare Operations Management written by Brian T. Denton 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 2013-02-28 with Business & Economics categories.
From the Preface: Collectively, the chapters in this book address application domains including inpatient and outpatient services, public health networks, supply chain management, and resource constrained settings in developing countries. Many of the chapters provide specific examples or case studies illustrating the applications of operations research methods across the globe, including Africa, Australia, Belgium, Canada, the United Kingdom, and the United States. Chapters 1-4 review operations research methods that are most commonly applied to health care operations management including: queuing, simulation, and mathematical programming. Chapters 5-7 address challenges related to inpatient services in hospitals such as surgery, intensive care units, and hospital wards. Chapters 8-10 cover outpatient services, the fastest growing part of many health systems, and describe operations research models for primary and specialty care services, and how to plan for patient no-shows. Chapters 12 – 16 cover topics related to the broader integration of health services in the context of public health, including optimizing the location of emergency vehicles, planning for mass vaccination events, and the coordination among different parts of a health system. Chapters 17-18 address supply chain management within hospitals, with a focus on pharmaceutical supply management, and the challenges of managing inventory for nursing units. Finally, Chapters 19-20 provide examples of important and emerging research in the realm of humanitarian logistics.
Healthcare Analytics Made Simple
DOWNLOAD
Author : Vikas (Vik) Kumar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-07-31
Healthcare Analytics Made Simple written by Vikas (Vik) Kumar and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-31 with Computers categories.
Add a touch of data analytics to your healthcare systems and get insightful outcomes Key Features Perform healthcare analytics with Python and SQL Build predictive models on real healthcare data with pandas and scikit-learn Use analytics to improve healthcare performance Book Description In recent years, machine learning technologies and analytics have been widely utilized across the healthcare sector. Healthcare Analytics Made Simple bridges the gap between practising doctors and data scientists. It equips the data scientists’ work with healthcare data and allows them to gain better insight from this data in order to improve healthcare outcomes. This book is a complete overview of machine learning for healthcare analytics, briefly describing the current healthcare landscape, machine learning algorithms, and Python and SQL programming languages. The step-by-step instructions teach you how to obtain real healthcare data and perform descriptive, predictive, and prescriptive analytics using popular Python packages such as pandas and scikit-learn. The latest research results in disease detection and healthcare image analysis are reviewed. By the end of this book, you will understand how to use Python for healthcare data analysis, how to import, collect, clean, and refine data from electronic health record (EHR) surveys, and how to make predictive models with this data through real-world algorithms and code examples. What you will learn Gain valuable insight into healthcare incentives, finances, and legislation Discover the connection between machine learning and healthcare processes Use SQL and Python to analyze data Measure healthcare quality and provider performance Identify features and attributes to build successful healthcare models Build predictive models using real-world healthcare data Become an expert in predictive modeling with structured clinical data See what lies ahead for healthcare analytics Who this book is for Healthcare Analytics Made Simple is for you if you are a developer who has a working knowledge of Python or a related programming language, although you are new to healthcare or predictive modeling with healthcare data. Clinicians interested in analytics and healthcare computing will also benefit from this book. This book can also serve as a textbook for students enrolled in an introductory course on machine learning for healthcare.
Artificial Intelligence In Healthcare
DOWNLOAD
Author : Adam Bohr
language : en
Publisher: Academic Press
Release Date : 2020-06-21
Artificial Intelligence In Healthcare written by Adam Bohr and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-21 with Computers categories.
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Population Health Analytics
DOWNLOAD
Author : Martha L. Sylvia
language : en
Publisher: Jones & Bartlett Learning
Release Date : 2021-03
Population Health Analytics written by Martha L. Sylvia and has been published by Jones & Bartlett Learning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03 with Education categories.
"Binding: PB"--
Ai Based Advanced Optimization Techniques For Edge Computing
DOWNLOAD
Author : Mohit Kumar
language : en
Publisher: John Wiley & Sons
Release Date : 2025-03-27
Ai Based Advanced Optimization Techniques For Edge Computing written by Mohit Kumar and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-27 with Computers categories.
The book offers cutting-edge insights into AI-driven optimization algorithms and their crucial role in enhancing real-time applications within fog and Edge IoT networks and addresses current challenges and future opportunities in this rapidly evolving field. This book focuses on artificial intelligence-induced adaptive optimization algorithms in fog and Edge IoT networks. Artificial intelligence, fog, and edge computing, together with IoT, are the next generation of paradigms offering services to people to improve existing services for real-time applications. Over the past few years, there has been rigorous growth in AI-based optimization algorithms and Edge and IoT paradigms. However, despite several applications and advancements, there are still some limitations and challenges to address including security, adaptive, complex, and heterogeneous IoT networks, protocols, intelligent offloading decisions, latency, energy consumption, service allocation, and network lifetime. This volume aims to encourage industry professionals to initiate a set of architectural strategies to solve open research computation challenges. The authors achieve this by defining and exploring emerging trends in advanced optimization algorithms, AI techniques, and fog and Edge technologies for IoT applications. Solutions are also proposed to reduce the latency of real-time applications and improve other quality of service parameters using adaptive optimization algorithms in fog and Edge paradigms. The book provides information on the full potential of IoT-based intelligent computing paradigms for the development of suitable conceptual and technological solutions using adaptive optimization techniques when faced with challenges. Additionally, it presents in-depth discussions in emerging interdisciplinary themes and applications reflecting the advancements in optimization algorithms and their usage in computing paradigms. Audience Researchers, industrial engineers, and graduate/post-graduate students in software engineering, computer science, electronic and electrical engineering, data analysts, and security professionals working in the fields of intelligent computing paradigms and similar areas.
Foundations And Applications Of Ai In Data Engineering And Healthcare Analytics
DOWNLOAD
Author : Bhumika Shah Dr. Arun Prakash Agarwal
language : en
Publisher: DeepMisti Publication
Release Date : 2025-02-02
Foundations And Applications Of Ai In Data Engineering And Healthcare Analytics written by Bhumika Shah Dr. Arun Prakash Agarwal and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-02 with Computers categories.
The advent of artificial intelligence (AI) has ushered in a new era of possibilities, transforming industries and redefining how we solve complex problems. Among its most promising applications, data engineering and healthcare analytics stand out as fields where AI’s potential can revolutionize processes, unlock insights, and enhance outcomes. However, realizing this potential requires a solid understanding of foundational concepts, cutting-edge techniques, and their real- world applications. Foundations and Applications of AI in Data Engineering and Healthcare Analytics bridges the gap between theory and practice, offering readers a comprehensive exploration of AI’s role in these critical domains. This book serves as both an introduction for newcomers and an advanced resource for professionals seeking to deepen their expertise. In the realm of data engineering, AI empowers organizations to manage, process, and analyze vast volumes of data with unprecedented efficiency. From intelligent data pipelines to real-time analytics, this book delves into the tools and techniques that make data actionable and impactful. In healthcare analytics, AI is driving breakthroughs that were once thought impossible—predictive modeling for patient care, personalized medicine, and early disease detection, to name a few. By combining case studies, technical insights, and practical guidelines, this book highlights how AI is shaping a smarter, more responsive healthcare ecosystem. As you embark on this journey, you’ll gain not only the technical knowledge required to implement AI solutions but also the critical perspective needed to navigate ethical considerations, regulatory frameworks, and the human impact of these innovations. Whether you are a data engineer, a healthcare professional, a researcher, or an AI enthusiast, this book offers a roadmap to understanding and leveraging AI to solve real-world challenges in data and healthcare. Welcome to a world where AI meets data and healthcare, unlocking possibilities for a better future. Authors
Rehabilitation Engineering Assistive Technologies And The Future Of Healthcare Using Robotics
DOWNLOAD
Author : D. Jude Hemanth
language : en
Publisher: Academic Press
Release Date : 2025-06-02
Rehabilitation Engineering Assistive Technologies And The Future Of Healthcare Using Robotics written by D. Jude Hemanth and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-02 with Science categories.
Rehabilitation Engineering, Assistive Technologies and the Future of Healthcare Using Robotics presents the most recent developments in assistive technologies, rehabilitative engineering, and robotics, offering in-depth analysis of cutting-edge instruments and frameworks that have the power to transform rehabilitation and general well-being. The book provides insights into how the integration of assistive technology and robots can enhance healthcare delivery while also addressing global challenges related to healthcare accessibility, rehabilitation, the integration of advanced technologies, opportunities, and problems in assistive technologies. Sections are complemented by case studies from different countries. - Provides insights into current trends and potential areas for further investigation using robotics in healthcare - Offers ethical principles, strategic considerations, and prospective ramifications for incorporating new technologies into practices - Explores new developments in assistive technologies and rehabilitative engineering
Essentials Of Healthcare Analytics
DOWNLOAD
Author : Prof. Dr. R Gopal, Prof. Dr. Gagandeep Kaur Nagra, Dr. Priya Vij
language : en
Publisher: Notion Press
Release Date : 2024-08-28
Essentials Of Healthcare Analytics written by Prof. Dr. R Gopal, Prof. Dr. Gagandeep Kaur Nagra, Dr. Priya Vij and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-28 with Health & Fitness categories.
In a world where data-driven decisions can lead to changes in the land in health care, "Essentials of Healthcare Analytics" is the unique source of how to leverage that data to deliver better care at a lower cost and with better margins. This book delves deep into the great yet critical role that analytics play in health care and looks forward to how the technologies, methodologies, and best practices in this field are set to have their future defined. It could entail such diverse topics as foundational concepts through advanced applications, data integration, predictive modeling, and real-time analytics. Learn how to leverage state-of-the-art tools such as Python and R in data analysis and find out how machine learning and AI have changed patient care, personalized medicine, and healthcare management. Whether you are a working professional in healthcare, a data analyst, or a student who seeks to break into such an exciting field, Essentials of Healthcare Analytics will prepare you with knowledge and the right skill set to negotiate the complexities of healthcare through data and make this knowledge actionable for informed decisions. Embrace the future of healthcare with the deep understanding of how analytics can drive your organization towards innovation and efficiency.
Statistical Methods And Applications In Systems Assurance And Quality
DOWNLOAD
Author : Sotiris Bersimis
language : en
Publisher: CRC Press
Release Date : 2025-10-03
Statistical Methods And Applications In Systems Assurance And Quality written by Sotiris Bersimis and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-03 with Mathematics categories.
In the era of big data and real-time monitoring, vast amounts of information are generated every second through sensors and advanced tracking systems. The information contained in the data needs to be carefully analyzed and accurate results must be delivered to the users as soon as possible. This book explores the critical role of statistics in modern technologies and applied sciences such as health, informatics, and production systems. Statistical Methods and Applications in Systems Assurance and Quality provides a comprehensive overview of statistical methods for ensuring system quality and reliability. It discusses best practices for improving the quality of manufacturing products by using proper statistical methods. The book covers the current state of statistical methods used for system quality and conveys the importance of healthcare systems and employing statistics in the detection of epidemic outbreaks. Designed for researchers, industry professionals, and academics, this reference is ideal for those working in manufacturing, healthcare, computer engineering, statistical process control, and machine learning applications. It serves as a valuable resource for anyone seeking to enhance system performance through data-driven insights.