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Applications Of Stochastic Modeling And Data Analytics Techniques In Healthcare Decision Making
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Book Synopsis Stochastic Modeling And Analytics In Healthcare Delivery Systems by : Jingshan Li
Download or read book Stochastic Modeling And Analytics In Healthcare Delivery Systems written by Jingshan Li and published by World Scientific. This book was released on 2017-09-22 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, there has been an increased interest in the field of healthcare delivery systems. Scientists and practitioners are constantly searching for ways to improve the safety, quality and efficiency of these systems in order to achieve better patient outcome.This book focuses on the research and best practices in healthcare engineering and technology assessment. With contributions from researchers in the fields of healthcare system stochastic modeling, simulation, optimization and management, this is a valuable read.
Book Synopsis Big Data Analytics for Healthcare by : Pantea Keikhosrokiani
Download or read book Big Data Analytics for Healthcare written by Pantea Keikhosrokiani and published by Academic Press. This book was released on 2022-05-19 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data Analytics and Medical Information Systems presents the valuable use of artificial intelligence and big data analytics in healthcare and medical sciences. It focuses on theories, methods and approaches in which data analytic techniques can be used to examine medical data to provide a meaningful pattern for classification, diagnosis, treatment, and prediction of diseases. The book discusses topics such as theories and concepts of the field, and how big medical data mining techniques and applications can be applied to classification, diagnosis, treatment, and prediction of diseases. In addition, it covers social, behavioral, and medical fake news analytics to prevent medical misinformation and myths. It is a valuable resource for graduate students, researchers and members of biomedical field who are interested in learning more about analytic tools to support their work. - Presents theories, methods and approaches in which data analytic techniques are used for medical data - Brings practical information on how to use big data for classification, diagnosis, treatment, and prediction of diseases - Discusses social, behavioral, and medical fake news analytics for medical information systems
Book Synopsis Data-Guided Healthcare Decision Making by : Ramalingam Shanmugam
Download or read book Data-Guided Healthcare Decision Making written by Ramalingam Shanmugam and published by Cambridge University Press. This book was released on 2023-05-31 with total page 529 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book effectively exposes and illustrates the ideas and tools for optimal healthcare decisions taken from evidence.
Book Synopsis Analytics, Operations, and Strategic Decision Making in the Public Sector by : Evans, Gerald William
Download or read book Analytics, Operations, and Strategic Decision Making in the Public Sector written by Evans, Gerald William and published by IGI Global. This book was released on 2019-02-15 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analytics for the public sector involves the application of operations research and statistical techniques to solve various problems existing outside of the private sector. The use of analytics for the public sector results in more efficient and effective services for the clients and users of these systems. Analytics, Operations, and Strategic Decision Making in the Public Sector is an essential reference source that discusses analytics applications in various public sector organizations, and addresses the difficulties associated with the design and operation of these systems including multiple conflicting objectives, uncertainties and resulting risk, ill-structured nature, combinatorial design aspects, and scale. Featuring research on topics such as analytical modeling techniques, data mining, and statistical analysis, this book is ideally designed for academicians, educators, researchers, students, and public sector professionals including those in local, state, and federal governments; criminal justice systems; healthcare; energy and natural resources; waste management; emergency response; and the military.
Book Synopsis Proceedings of the 5th International Conference on Data Science, Machine Learning and Applications; Volume 1 by : Amit Kumar
Download or read book Proceedings of the 5th International Conference on Data Science, Machine Learning and Applications; Volume 1 written by Amit Kumar and published by Springer Nature. This book was released on with total page 1248 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis IoT-Based Data Analytics for the Healthcare Industry by : Sanjay Kumar Singh
Download or read book IoT-Based Data Analytics for the Healthcare Industry written by Sanjay Kumar Singh and published by Academic Press. This book was released on 2020-11-07 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: IoT Based Data Analytics for the Healthcare Industry: Techniques and Applications explores recent advances in the analysis of healthcare industry data through IoT data analytics. The book covers the analysis of ubiquitous data generated by the healthcare industry, from a wide range of sources, including patients, doctors, hospitals, and health insurance companies. The book provides AI solutions and support for healthcare industry end-users who need to analyze and manipulate this vast amount of data. These solutions feature deep learning and a wide range of intelligent methods, including simulated annealing, tabu search, genetic algorithm, ant colony optimization, and particle swarm optimization. The book also explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages, challenges and issues in data collection, data handling, and data collection set-up. Healthcare industry data or streaming data generated by ubiquitous sensors cocooned into the IoT requires advanced analytics to transform data into information. With advances in computing power, communications, and techniques for data acquisition, the need for advanced data analytics is in high demand. - Provides state-of-art methods and current trends in data analytics for the healthcare industry - Addresses the top concerns in the healthcare industry using IoT and data analytics, and machine learning and deep learning techniques - Discusses several potential AI techniques developed using IoT for the healthcare industry - Explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages
Download or read book Healthcare Analytics written by Hui Yang and published by John Wiley & Sons. This book was released on 2016-10-13 with total page 646 pages. Available in PDF, EPUB and Kindle. Book excerpt: Features of statistical and operational research methods and tools being used to improve the healthcare industry With a focus on cutting-edge approaches to the quickly growing field of healthcare, Healthcare Analytics: From Data to Knowledge to Healthcare Improvement provides an integrated and comprehensive treatment on recent research advancements in data-driven healthcare analytics in an effort to provide more personalized and smarter healthcare services. Emphasizing data and healthcare analytics from an operational management and statistical perspective, the book details how analytical methods and tools can be utilized to enhance healthcare quality and operational efficiency. Organized into two main sections, Part I features biomedical and health informatics and specifically addresses the analytics of genomic and proteomic data; physiological signals from patient-monitoring systems; data uncertainty in clinical laboratory tests; predictive modeling; disease modeling for sepsis; and the design of cyber infrastructures for early prediction of epidemic events. Part II focuses on healthcare delivery systems, including system advances for transforming clinic workflow and patient care; macro analysis of patient flow distribution; intensive care units; primary care; demand and resource allocation; mathematical models for predicting patient readmission and postoperative outcome; physician–patient interactions; insurance claims; and the role of social media in healthcare. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement also features: • Contributions from well-known international experts who shed light on new approaches in this growing area • Discussions on contemporary methods and techniques to address the handling of rich and large-scale healthcare data as well as the overall optimization of healthcare system operations • Numerous real-world examples and case studies that emphasize the vast potential of statistical and operational research tools and techniques to address the big data environment within the healthcare industry • Plentiful applications that showcase analytical methods and tools tailored for successful healthcare systems modeling and improvement The book is an ideal reference for academics and practitioners in operations research, management science, applied mathematics, statistics, business, industrial and systems engineering, healthcare systems, and economics. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement is also appropriate for graduate-level courses typically offered within operations research, industrial engineering, business, and public health departments.
Book Synopsis Operations Research and Health Care by : Margaret L. Brandeau
Download or read book Operations Research and Health Care written by Margaret L. Brandeau and published by Springer Science & Business Media. This book was released on 2006-04-04 with total page 870 pages. Available in PDF, EPUB and Kindle. Book excerpt: In both rich and poor nations, public resources for health care are inadequate to meet demand. Policy makers and health care providers must determine how to provide the most effective health care to citizens using the limited resources that are available. This chapter describes current and future challenges in the delivery of health care, and outlines the role that operations research (OR) models can play in helping to solve those problems. The chapter concludes with an overview of this book – its intended audience, the areas covered, and a description of the subsequent chapters. KEY WORDS Health care delivery, Health care planning HEALTH CARE DELIVERY: PROBLEMS AND CHALLENGES 3 1.1 WORLDWIDE HEALTH: THE PAST 50 YEARS Human health has improved significantly in the last 50 years. In 1950, global life expectancy was 46 years [1]. That figure rose to 61 years by 1980 and to 67 years by 1998 [2]. Much of these gains occurred in low- and middle-income countries, and were due in large part to improved nutrition and sanitation, medical innovations, and improvements in public health infrastructure.
Book Synopsis Advances in DEA Theory and Applications by : Kaoru Tone
Download or read book Advances in DEA Theory and Applications written by Kaoru Tone and published by John Wiley & Sons. This book was released on 2017-04-12 with total page 579 pages. Available in PDF, EPUB and Kindle. Book excerpt: A key resource and framework for assessing the performance of competing entities, including forecasting models Advances in DEA Theory and Applications provides a much-needed framework for assessing the performance of competing entities with special emphasis on forecasting models. It helps readers to determine the most appropriate methodology in order to make the most accurate decisions for implementation. Written by a noted expert in the field, this text provides a review of the latest advances in DEA theory and applications to the field of forecasting. Designed for use by anyone involved in research in the field of forecasting or in another application area where forecasting drives decision making, this text can be applied to a wide range of contexts, including education, health care, banking, armed forces, auditing, market research, retail outlets, organizational effectiveness, transportation, public housing, and manufacturing. This vital resource: Explores the latest developments in DEA frameworks for the performance evaluation of entities such as public or private organizational branches or departments, economic sectors, technologies, and stocks Presents a novel area of application for DEA; namely, the performance evaluation of forecasting models Promotes the use of DEA to assess the performance of forecasting models in a wide area of applications Provides rich, detailed examples and case studies Advances in DEA Theory and Applications includes information on a balanced benchmarking tool that is designed to help organizations examine their assumptions about their productivity and performance.
Book Synopsis Developments in Healthcare Information Systems and Technologies: Models and Methods by : Tan, Joseph
Download or read book Developments in Healthcare Information Systems and Technologies: Models and Methods written by Tan, Joseph and published by IGI Global. This book was released on 2010-07-31 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developments in Healthcare Information Systems and Technologies: Models and Methods presents the latest research in healthcare information systems design, development, and deployment, benefiting researchers, practitioners, and students. Contributions investigate topics such as clinical education, electronic medical records, clinical decision support systems, and IT adoption in healthcare.
Book Synopsis Multi-Agent Systems for Healthcare Simulation and Modeling: Applications for System Improvement by : Paranjape, Raman
Download or read book Multi-Agent Systems for Healthcare Simulation and Modeling: Applications for System Improvement written by Paranjape, Raman and published by IGI Global. This book was released on 2009-08-31 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides theoretical frameworks and the latest empirical research findings used by medical professionals in the implementation of multi-agent systems"--Provided by publisher.
Book Synopsis Artificial Intelligence in Medicine by : Elpida Keravnou
Download or read book Artificial Intelligence in Medicine written by Elpida Keravnou and published by Springer Science & Business Media. This book was released on 1997-03-12 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: Content Description #Includes bibliographical references and index.
Book Synopsis Healthcare Informatics by : Stephan P. Kudyba
Download or read book Healthcare Informatics written by Stephan P. Kudyba and published by CRC Press. This book was released on 2010-04-26 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Healthcare Informatics: Improving Efficiency and Productivity examines the complexities involved in managing resources in our healthcare system and explains how management theory and informatics applications can increase efficiencies in various functional areas of healthcare services. Delving into data and project management and advanced analytics,
Book Synopsis Decision Making: Recent Developments and Worldwide Applications by : Stelios H. Zanakis
Download or read book Decision Making: Recent Developments and Worldwide Applications written by Stelios H. Zanakis and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: This chapter describes a study conducted at the Swinburne University of Technology in Australia, in their School of Business. The study was to explore the applicability of a judgment-analytic decision support system to the assessment of the likelihood of an applicant being selected for admission to the School's Graduate Certificate in Business Administration (GCBA) program. The likelihood of a program administrator selecting a particular applicant is directly linked to the assessment of the likelihood of that applicant's success in the GCBA program. The purpose of this study, in effect, was to analyze the administrative judgment process in assessment of an applicant's likelihood of success in the program. THE PROCESS OF HUMAN JUDGMENT Human judgment is a process through which an individual uses social infonnation to make decisions. The social infonnation is obtained from an individual's environment and is interpreted through the individual's cognitive image of the environment. The. cognitive image provides a representation of the environment based on past experiences and training, and essentially predisposes the person to respond to social infonnation in predictable ways. An individual's policies or beliefs about the environment represent these patterns. Human judgments are based then upon one's interpretation of available infonnation. They are probability statements about one's environment and how one reacts to it. This condition leads to the human judgment process being inherently limited. It is fundamentally a covert process. It is seldom possible for an individual to accurately describe his or her judgment process accurately.
Book Synopsis A Handbook on Multi-Attribute Decision-Making Methods by : Omid Bozorg-Haddad
Download or read book A Handbook on Multi-Attribute Decision-Making Methods written by Omid Bozorg-Haddad and published by John Wiley & Sons. This book was released on 2021-03-04 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clear and effective instruction on MADM methods for students, researchers, and practitioners. A Handbook on Multi-Attribute Decision-Making Methods describes multi-attribute decision-making (MADM) methods and provides step-by-step guidelines for applying them. The authors describe the most important MADM methods and provide an assessment of their performance in solving problems across disciplines. After offering an overview of decision-making and its fundamental concepts, this book covers 20 leading MADM methods and contains an appendix on weight assignment methods. Chapters are arranged with optimal learning in mind, so you can easily engage with the content found in each chapter. Dedicated readers may go through the entire book to gain a deep understanding of MADM methods and their theoretical foundation, and others may choose to review only specific chapters. Each standalone chapter contains a brief description of prerequisite materials, methods, and mathematical concepts needed to cover its content, so you will not face any difficulty understanding single chapters. Each chapter: Describes, step-by-step, a specific MADM method, or in some cases a family of methods Contains a thorough literature review for each MADM method, supported with numerous examples of the method's implementation in various fields Provides a detailed yet concise description of each method's theoretical foundation Maps each method's philosophical basis to its corresponding mathematical framework Demonstrates how to implement each MADM method to real-world problems in a variety of disciplines In MADM methods, stakeholders' objectives are expressible through a set of often conflicting criteria, making this family of decision-making approaches relevant to a wide range of situations. A Handbook on Multi-Attribute Decision-Making Methods compiles and explains the most important methodologies in a clear and systematic manner, perfect for students and professionals whose work involves operations research and decision making.
Book Synopsis Cross-Border Management by : Rongxing Guo
Download or read book Cross-Border Management written by Rongxing Guo and published by Springer. This book was released on 2015-01-05 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a new approach to management in an increasingly interactive world. In this context, the use of the word “new” has two meanings. The first relates to a new definition of borders (which are natural, institutional, functional, or mixed); the second concerns the fact that the book applies (and, where necessary, develops) analytical tools, methods and models that are different from those used in other similar books. The objectives of this book are: to clarify whether existing management theories and methods can be effectively applied in an entity (which can be defined as a sovereign country, a region, a community, a culture, or a firm) as the latter increasingly interacts with the rest of the world; to develop qualitative and quantitative methods to help leaders make optimal decisions for their entity and, at the same time, to maximize the positive (or minimize the negative) effects of those decisions on the rest of the world; and to design workable cross-border cooperation plans and conflict-management schemes that allow policy-makers to better cope with the challenges and problems posed by our increasingly interactive world.
Book Synopsis Level Crossing Methods in Stochastic Models by : Percy H. Brill
Download or read book Level Crossing Methods in Stochastic Models written by Percy H. Brill and published by Springer Science & Business Media. This book was released on 2008-12-03 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: From 1972 to 1974, I was working on a PhD thesis entitled Multiple Server Queues with Service Time Depending on Waiting Time.The method of analysis was the embedded Markov chain technique, described in the papers [82] and [77]. My analysis involved lengthy, tedious deri- tions of systems of integral equations for the probability density function (pdf) of the waiting time. After pondering for many months whether there might be a faster, easier way to derive the integral equations, I ?nally discovered the basic theorems for such a method in August, 1974. The theorems establish a connection between sample-path level-crossing rates of the virtual wait process and the pdf of the waiting time. This connection was not found anywhere else in the literature at the time. I immediately developed a comprehensive new methodology for deriving the integral equations based on these theorems, and called it system point theory. (Subsequently it was called system point method,or system point level crossing method: SPLC or simply LC.) I rewrote the entire PhD thesis from November 1974 to March 1975, using LC to reach solutions. The new thesis was called System Point Theory in Exponential Queues. On June 12, 1975 I presented an invited talk on the new methodology at the Fifth Conference on Stochastic Processes and their Applications at the University of Maryland. Many queueing theorists were present.
