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Interpretable Three Way Decision With Hesitant Risk Information And Its Healthcare Application


Interpretable Three Way Decision With Hesitant Risk Information And Its Healthcare Application
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Interpretable Three Way Decision With Hesitant Risk Information And Its Healthcare Application


Interpretable Three Way Decision With Hesitant Risk Information And Its Healthcare Application
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Author : Decui Liang
language : en
Publisher: Springer Nature
Release Date : 2023-11-30

Interpretable Three Way Decision With Hesitant Risk Information And Its Healthcare Application written by Decui Liang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-30 with Technology & Engineering categories.


As a new interpretable model, three-way decision has also received academic attention in machine learning. With respect to different hesitant fuzzy information, this book deeply discusses the deduction process of decision rules of three-way decision and generates interpretable knowledge with the risk semantics. It further explores the applications of three-way decision to support healthcare management. This book is used as a reference for engineers, technicians, and researchers who are working in the fields of management science, operation management, computer science, information management, fuzzy mathematics, business intelligence, and other fields. It also serves as a textbook for postgraduate and senior undergraduate students of the relevant professional institutions of higher learning.



Big Data Analytics For Smart Healthcare Applications


Big Data Analytics For Smart Healthcare Applications
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Author : Celestine Iwendi
language : en
Publisher: Frontiers Media SA
Release Date : 2023-04-17

Big Data Analytics For Smart Healthcare Applications written by Celestine Iwendi and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-17 with Medical categories.




Interpretable Machine Learning


Interpretable Machine Learning
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Author : Christoph Molnar
language : en
Publisher: Lulu.com
Release Date : 2020

Interpretable Machine Learning written by Christoph Molnar and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Artificial intelligence categories.


This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.



Artificial Intelligence In Healthcare


Artificial Intelligence In Healthcare
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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



Medinfo 2007


Medinfo 2007
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Author : K.A. Kuhn
language : en
Publisher: IOS Press
Release Date : 2007-08-02

Medinfo 2007 written by K.A. Kuhn and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-02 with Computers categories.


The theme of Medinfo2007 is “Building Sustainable Health Systems”. Particular foci are health challenges for the developing and developed world, the social and political context of healthcare, safe and effective healthcare, and the difficult task of building and maintaining complex health information systems. Sustainable health information systems are those that can meet today’s needs without compromising the needs of future generations. To build a global knowledge society, there needs to be an increased cooperation between science and technology and access to high-quality knowledge and information. The papers presented are refereed and from all over the world. They reflect the breadth and depth of the field of biomedical and health informatics, covering topics such as; health information systems, knowledge and data management, education, standards, consumer health and human factors, emerging technologies, sustainability, organizational and economic issues, genomics, and image and signal processing. As this volume carries such a wide collection, it will be of great interest to anyone engaged in biomedical and health informatics research and application.



Healthcare Solutions Using Machine Learning And Informatics


Healthcare Solutions Using Machine Learning And Informatics
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Author : Punit Gupta
language : en
Publisher: CRC Press
Release Date : 2022-10-21

Healthcare Solutions Using Machine Learning And Informatics written by Punit Gupta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-21 with Medical categories.


Healthcare Solutions Using Machine Learning and Informatics covers novel and innovative solutions for healthcare that apply machine learning and biomedical informatics technology. The healthcare sector is one of the most critical in society. This book presents a series of artificial intelligence, machine learning, and intelligent IoT-based solutions for medical image analysis, medical big-data processing, and disease predictions. Machine learning and artificial intelligence use cases in healthcare presented in the book give researchers, practitioners, and students a wide range of practical examples of cross-domain convergence. The wide variety of topics covered include: Artificial Intelligence in healthcare Machine learning solutions for such disease as diabetes, arthritis, cardiovascular disease, and COVID-19 Big data analytics solutions for healthcare data processing Reliable biomedical applications using AI models Intelligent IoT in healthcare The book explains fundamental concepts as well as the advanced use cases, illustrating how to apply emerging technologies such as machine learning, AI models, and data informatics into practice to tackle challenges in the field of healthcare with real-world scenarios. Chapters contributed by noted academicians and professionals examine various solutions, frameworks, applications, case studies, and best practices in the healthcare domain.





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Author :
language : en
Publisher: IOS Press
Release Date :

written by and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




Users Guides To The Medical Literature A Manual For Evidence Based Clinical Practice 3e


Users Guides To The Medical Literature A Manual For Evidence Based Clinical Practice 3e
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Author : Gordon Guyatt
language : en
Publisher: McGraw Hill Professional
Release Date : 2014-10-22

Users Guides To The Medical Literature A Manual For Evidence Based Clinical Practice 3e written by Gordon Guyatt and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-22 with Medical categories.


The leading guide to the principles and clinical applications of evidence-based medicine--updated with new examples and new chapters Revised and updated to reflect the latest in medical research and evidence-based resources Practical focus and organization to guide clinicians through the fundamentals of using the medical literature to the more advanced strategies and skills for use in patient care, using the key questions to assess any new research: What are the results? How serious is the risk of bias? How do I apply the results to patient care? Updated real-world examples drawn from the medical literature New chapters that reflect the changing complexity of medical research and literature, including genetic association studies, systematic reviews and meta-analyses, network meta-analysis, noninferiority trials, quality improvement, and evidence-based medicine and the theory of knowledge New emphasis on understanding the role of patient preferences and preappraised resources that provide updated evidence and evidence-based recommendations for practice



Artificial Intelligence In Asset Management


Artificial Intelligence In Asset Management
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Author : Söhnke M. Bartram
language : en
Publisher: CFA Institute Research Foundation
Release Date : 2020-08-28

Artificial Intelligence In Asset Management written by Söhnke M. Bartram and has been published by CFA Institute Research Foundation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-28 with Business & Economics categories.


Artificial intelligence (AI) has grown in presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance. In particular, AI techniques help construct portfolios based on more accurate risk and return forecasts and more complex constraints. Trading algorithms use AI to devise novel trading signals and execute trades with lower transaction costs. AI also improves risk modeling and forecasting by generating insights from new data sources. Finally, robo-advisors owe a large part of their success to AI techniques. Yet the use of AI can also create new risks and challenges, such as those resulting from model opacity, complexity, and reliance on data integrity.



Handbook Of The Fundamentals Of Financial Decision Making


Handbook Of The Fundamentals Of Financial Decision Making
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Author : Leonard C. MacLean
language : en
Publisher: World Scientific
Release Date : 2013

Handbook Of The Fundamentals Of Financial Decision Making written by Leonard C. MacLean and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Business & Economics categories.


This handbook in two parts covers key topics of the theory of financial decision making. Some of the papers discuss real applications or case studies as well. There are a number of new papers that have never been published before especially in Part II.Part I is concerned with Decision Making Under Uncertainty. This includes subsections on Arbitrage, Utility Theory, Risk Aversion and Static Portfolio Theory, and Stochastic Dominance. Part II is concerned with Dynamic Modeling that is the transition for static decision making to multiperiod decision making. The analysis starts with Risk Measures and then discusses Dynamic Portfolio Theory, Tactical Asset Allocation and Asset-Liability Management Using Utility and Goal Based Consumption-Investment Decision Models.A comprehensive set of problems both computational and review and mind expanding with many unsolved problems are in an accompanying problems book. The handbook plus the book of problems form a very strong set of materials for PhD and Masters courses both as the main or as supplementary text in finance theory, financial decision making and portfolio theory. For researchers, it is a valuable resource being an up to date treatment of topics in the classic books on these topics by Johnathan Ingersoll in 1988, and William Ziemba and Raymond Vickson in 1975 (updated 2 nd edition published in 2006).