Prognostic Models in Healthcare: AI and Statistical Approaches, Saba

Автор: Saba
Название: Prognostic Models in Healthcare: AI and Statistical Approaches
ISBN: 9811920567 ISBN-13(EAN): 9789811920561
Издательство: Springer
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Цена: 232910.00 T
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Описание: This book focuses on contemporary technologies and research in computational intelligence that has reached the practical level and is now accessible in preclinical and clinical settings. This book's principal objective is to thoroughly understand significant technological breakthroughs and research results in predictive modeling in healthcare imaging and data analysis. Machine learning and deep learning could be used to fully automate the diagnosis and prognosis of patients in medical fields. The healthcare industry's emphasis has evolved from a clinical-centric to a patient-centric model. However, it is still facing several technical, computational, and ethical challenges. Big data analytics in health care is becoming a revolution in technical as well as societal well-being viewpoints. Moreover, in this age of big data, there is increased access to massive amounts of regularly gathered data from the healthcare industry that has necessitated the development of predictive models and automated solutions for the early identification of critical and chronic illnesses. The book contains high-quality, original work that will assist readers in realizing novel applications and contexts for deep learning architectures and algorithms, making it an indispensable reference guide for academic researchers, professionals, industrial software engineers, and innovative model developers in healthcare industry.

Автор: Roy Sudipta, Goyal Lalit Mohan, Mittal Mamta
Название: Advanced Prognostic Predictive Modelling in Healthcare Data Analytics
ISBN: 9811605408 ISBN-13(EAN): 9789811605406
Издательство: Springer
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Цена: 167700.00 T
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Описание: This book discusses major technical advancements and research findings in the field of prognostic modelling in healthcare image and data analysis.

Автор: Roy Sudipta, Goyal Lalit Mohan, Mittal Mamta
Название: Advanced Prognostic Predictive Modelling in Healthcare Data Analytics
ISBN: 9811605378 ISBN-13(EAN): 9789811605376
Издательство: Springer
Цена: 167700.00 T
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Описание: This book discusses major technical advancements and research findings in the field of prognostic modelling in healthcare image and data analysis.

Автор: Ekwaro-Osire Stephen, Gonзalves Aparecido Carlos, Alemayehu Fisseha M.
Название: Probabilistic Prognostics and Health Management of Energy Systems
ISBN: 3319857649 ISBN-13(EAN): 9783319857640
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book proposes the formulation of an efficient methodology that estimates energy system uncertainty and predicts Remaining Useful Life (RUL) accurately with significantly reduced RUL prediction uncertainty.

Название: Probabilistic prognostics and health management of energy systems.
ISBN: 331955851X ISBN-13(EAN): 9783319558516
Издательство: Springer
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Цена: 111790.00 T
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Описание: This book proposes the formulation of an efficient methodology that estimates energy system uncertainty and predicts Remaining Useful Life (RUL) accurately with significantly reduced RUL prediction uncertainty.

Автор: Daniel Cremers; Bodo Rosenhahn; Alan L. Yuille; Fr
Название: Statistical and Geometrical Approaches to Visual Motion Analysis
ISBN: 3642030602 ISBN-13(EAN): 9783642030604
Издательство: Springer
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Цена: 65210.00 T
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Описание: International Dagstuhl Seminar Dagstuhl Castle July 1318 2008 Revised Papers. .

Автор: Yixin Chen; Jia Li; James Z. Wang
Название: Machine Learning and Statistical Modeling Approaches to Image Retrieval
ISBN: 1475779305 ISBN-13(EAN): 9781475779301
Издательство: Springer
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Цена: 93160.00 T
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Описание: Machine Learning and Statistical Modeling Approaches to Image Retrieval describes several approaches of integrating machine learning and statistical modeling into an image retrieval and indexing system that demonstrates promising results.

Автор: Olga Kosheleva; Karen Villaverde
Название: How Interval and Fuzzy Techniques Can Improve Teaching
ISBN: 3662572567 ISBN-13(EAN): 9783662572566
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book explains how to teach better and presents the latest research on processing educational data and presents traditional statistical techniques as well as probabilistic, interval, and fuzzy approaches. Teaching is a very rewarding activity; it is also a very difficult one – because it is largely an art. There is a lot of advice on teaching available, but it is usually informal and is not easy to follow. To remedy this situation, it is reasonable to use techniques specifically designed to handle such imprecise knowledge: the fuzzy logic techniques. Since there are a large number of statistical studies of different teaching techniques, the authors combined statistical and fuzzy approaches to process the educational data in order to provide insights into improving all the stages of the education process: from forming a curriculum to deciding in which order to present the material to grading the assignments and exams. The authors do not claim to have solved all the problems of education. Instead they show, using numerous examples, that an innovative combination of different uncertainty techniques can improve teaching. The book offers teachers and instructors valuable advice and provides researchers in pedagogical and fuzzy areas with techniques to further advance teaching.

Автор: Kreinovich Vladik
Название: Statistical and Fuzzy Approaches to Data Processing, with Applications to Econometrics and Other Areas: In Honor of Hung T. Nguyen`s 75th Birthday
ISBN: 3030456218 ISBN-13(EAN): 9783030456214
Издательство: Springer
Цена: 93160.00 T
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Описание: Mainly focusing on processing uncertainty, this book presents state-of-the-art techniques and demonstrates their use in applications to econometrics and other areas. Measurement uncertainty is usually described using probabilistic techniques, while uncertainty in expert estimates is often described using fuzzy techniques.

Автор: Kreinovich Vladik
Название: Statistical and Fuzzy Approaches to Data Processing, with Applications to Econometrics and Other Areas: In Honor of Hung T. Nguyen`s 75th Birthday
ISBN: 3030456188 ISBN-13(EAN): 9783030456184
Издательство: Springer
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Цена: 121110.00 T
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Описание: Mainly focusing on processing uncertainty, this book presents state-of-the-art techniques and demonstrates their use in applications to econometrics and other areas. Measurement uncertainty is usually described using probabilistic techniques, while uncertainty in expert estimates is often described using fuzzy techniques.

Автор: Olga Kosheleva; Karen Villaverde
Название: How Interval and Fuzzy Techniques Can Improve Teaching
ISBN: 3662559919 ISBN-13(EAN): 9783662559918
Издательство: Springer
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Цена: 139750.00 T
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Описание: Introduction: Need for Interval and Fuzzy Techniques in Math and Science Education.-Part I How to Motivate Students.-How to Motivate Students? .-Need to Understand the Presence of Uncertainty: Emphasizing Paradoxes as a (Seemingly Paradoxical) Way to Enhance the Learning of (Strict) Mathematics .-Uncertainty-Related Example Explaining Why Geometry Is Useful: Geometry of a Plane .-Uncertainty-Related Example Explaining Why Calculus Is Useful: Example of the Mean Value Theorem .-How to Enhance Student Motivations by Borrowing from Ancient Tradition: Egyptian Fractions .-How to Enhance Student Motivations by Borrowing from Ancient Tradition: Mayan and Babylonian Arithmetics .-How to Enhance Student Motivations by Borrowing from Ancient Tradition: Babylonian Method of Computing the Square Root .-How to Enhance Student Motivations by Borrowing from Ancient Tradition: Russian Peasant Multiplication Algorithm .-How to Enhance Student Motivations by Borrowing from Modern Practices: Geometric Approach to Error-Less Counting .-How to Enhance Student Motivations by Borrowing from Modern Practices: Can We Learn Algorithms from People Who Compute Fast.-How to Enhance a General Student Motivation to Study: Asymmetric Paternalism .-Financial Motivation: How to Incentivize Students to Graduate Faster.-Part II In What Order to Present the Material.-In What Order to Present the Material.-Spiral Curriculum: Towards Mathematical Foundations.-How Much Time to Allocate to Each Topic?.-What is Wrong with Teaching to the Test: Uncertainty Techniques Help in Understanding the Controversy.-In What Order to Present the Material: Fractal Approach.-How AI-Type Uncertainty Ideas Can Improve Inter-Disciplinary Education and Collaboration: Lessons from a Case Study.-In What Order to Present the Material Within Each Topic: Concrete-First vs. Abstract-First .-Part III How to Select an Appropriate Way of Teaching Each Topic.-How to Select an Appropriate Way of Teaching Each Topic .-What is the Best Way to Distribute the Teacher's Efforts Among Students .-What is the Best Way to Allocate Teacher's Efforts: How Accurately Should We Write on the Board? When Marking Comments on Student Papers? .-How to Divide Students into Groups so as to Optimize Learning .-How to Divide Students into Groups: Importance of Diversity and Need for Intelligent Techniques to Further Enhance the Advantage of Groups with Diversity in Problem Solving .-A Minor but Important Aspect of Teaching Large Classes: When to Let in Late Students? .-Part IV How to Assess Students, Teachers, and Teaching Techniques.-How to Assess Students, Teachers, and Teaching Techniques.-How to Assess Students: Rewarding Results or Rewarding Efforts?.-How to Assess Students: Assess Frequently.-How to Assess Students: Surprise Them.-How to Assess Individual Contributions to a Group Project.-How to Access Students's Readiness for the Next Class.-How to Assess Students: Beyond Weighted Average.-How to Assess a Class .-How to Assess Teachers.-How to Assess Teaching Teachniques.-How to Assess Universities: Defining Average Class Size in a Way Which Is Most Adequate for Teaching Effectiveness.-Conclusions .

Автор: Gaurav Dhiman, Sandeep Kautish
Название: AI-Enabled Multiple Criteria Decision-Making Approaches for Healthcare Management
ISBN: 1668444054 ISBN-13(EAN): 9781668444054
Издательство: Mare Nostrum (Eurospan)
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Цена: 280890.00 T
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Описание: In practical health care cases, semi-structured and unstructured decision-making issues involve multiple criteria (or goals) that may conflict with each other. Thus, the use of MCDM is a promising source of practical solutions for such problems.