Accuracy Of Rule Extraction Using A Recursive Rule Extraction Algorithm With Continuous Attributes Combined With A Sampling Selection Technique For The Diagnosis Of Liver Disease
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Accuracy Of Rule Extraction Using A Recursive Rule Extraction Algorithm With Continuous Attributes Combined With A Sampling Selection Technique For The Diagnosis Of Liver Disease
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Author : Yoichi Hayashi
language : en
Publisher: Infinite Study
Release Date :
Accuracy Of Rule Extraction Using A Recursive Rule Extraction Algorithm With Continuous Attributes Combined With A Sampling Selection Technique For The Diagnosis Of Liver Disease written by Yoichi Hayashi and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Although liver cancer is the second most common cause of death from cancer worldwide, because of the limited accuracy and interpretability of extracted classification rules, the diagnosis of liver disease remains difficult. In addition, hepatitis, which is inflammation of the liver, can progress to fibrosis, cirrhosis, or even liver cancer.
Knowledge Intensive Subgroup Mining
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Author : Martin Atzmüller
language : en
Publisher: IOS Press
Release Date : 2007
Knowledge Intensive Subgroup Mining written by Martin Atzmüller 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 with Data mining categories.
Transfer Learning
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Author : Qiang Yang
language : en
Publisher: Cambridge University Press
Release Date : 2020-02-13
Transfer Learning written by Qiang Yang and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-13 with Computers categories.
This in-depth tutorial for students, researchers, and developers covers foundations, plus applications ranging from search to multimedia.
Machine Learning Optimization And Data Science
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Author : Giuseppe Nicosia
language : en
Publisher: Springer Nature
Release Date : 2020-01-03
Machine Learning Optimization And Data Science written by Giuseppe Nicosia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-03 with Computers categories.
This book constitutes the post-conference proceedings of the 5th International Conference on Machine Learning, Optimization, and Data Science, LOD 2019, held in Siena, Italy, in September 2019. The 54 full papers presented were carefully reviewed and selected from 158 submissions. The papers cover topics in the field of machine learning, artificial intelligence, reinforcement learning, computational optimization and data science presenting a substantial array of ideas, technologies, algorithms, methods and applications.
Essential Endocrinology And Diabetes
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Author : Richard I. G. Holt
language : en
Publisher: John Wiley & Sons
Release Date : 2021-03-04
Essential Endocrinology And Diabetes written by Richard I. G. Holt 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 2021-03-04 with Medical categories.
ESSENTIAL ENDOCRINOLOGY AND DIABETES The Essentials are an international, best-selling series of textbooks, all of which are designed to support lecture series or themes on core topics within the health sciences. See www.wiley.com for further details. Essential Endocrinology and Diabetes provides the accurate and up-to-date knowledge required for treating all areas of endocrinology and diabetes, covering the latest research, clinical guidelines, investigational methods, and therapies. This classic text explains the vital aspects of endocrine physiology in a succinct and easy-to-use format, with full-colour illustrations, clinical images, and case studies to assist readers in applying theory to practice. The text covers the principles of endocrinology, clinical endocrinology, and clinical diabetes and obesity, and has been revised throughout to present the most recent developments in the field. The seventh edition includes new and updated material on the latest molecular techniques, approaches to clinical investigation and diagnostics, next generation sequencing technology, and positron emission tomography (PET). The treatment of type 1 diabetes and type 2 diabetes has been updated with clinical algorithms and reflects significant advances such as incretin-based therapies, SGLT2 inhibitors, the development of better insulins, and technologies that support self-management. Provides students and practitioners with comprehensive and authoritative information on all major aspects of endocrine physiology Covers diagnosis, management, and complications of clinical disorders such as endocrine neoplasia, and type 1 diabetes and type 2 diabetes Explains the core principle of feedback regulation, which is vital for the correct interpretation of many clinical tests Features case histories, learning objectives, ‘recap’ links to chapter content, cross-referencing guides, key information boxes, and chapter summaries Essential Endocrinology and Diabetes, Seventh Edition is the ideal textbook for medical and biomedical students, junior doctors, and clinicians looking to refresh their knowledge of endocrine science. For more information on the complete range of Wiley medical student and junior doctor publishing, please visit: www.wiley.com To receive automatic updates on Wiley books and journals, join our email list. Sign up today at www.wiley.com/email All content reviewed by students for students Wiley Medical Education books are designed exactly for their intended audience. All of our books are developed in collaboration with students. This means that our books are always published with you, the student, in mind. If you would like to be one of our student reviewers, go to www.reviewmedicalbooks.com to find out more. This title is also available as an e-book. For more details, please see www.wiley.com/buy/9781118763964
Intelligent Systems Technologies And Applications 2016
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Author : Juan Manuel Corchado Rodriguez
language : en
Publisher: Springer
Release Date : 2016-09-19
Intelligent Systems Technologies And Applications 2016 written by Juan Manuel Corchado Rodriguez and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-19 with Technology & Engineering categories.
This book constitutes the thoroughly refereed proceedings of the second International Symposium on Intelligent Systems Technologies and Applications (ISTA’16), held on September 21–24, 2016 in Jaipur, India. The 80 revised papers presented were carefully reviewed and selected from 210 initial submissions and are organized in topical sections on image processing and artificial vision, computer networks and distributed systems, intelligent tools and techniques and applications using intelligent techniques.
Conference Papers Index
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Author :
language : en
Publisher:
Release Date : 1987
Conference Papers Index written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Engineering categories.
Principles Of Data Mining
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Author : Max Bramer
language : en
Publisher: Springer
Release Date : 2016-11-09
Principles Of Data Mining written by Max Bramer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-09 with Computers categories.
This book explains and explores the principal techniques of Data Mining, the automatic extraction of implicit and potentially useful information from data, which is increasingly used in commercial, scientific and other application areas. It focuses on classification, association rule mining and clustering. Each topic is clearly explained, with a focus on algorithms not mathematical formalism, and is illustrated by detailed worked examples. The book is written for readers without a strong background in mathematics or statistics and any formulae used are explained in detail. It can be used as a textbook to support courses at undergraduate or postgraduate levels in a wide range of subjects including Computer Science, Business Studies, Marketing, Artificial Intelligence, Bioinformatics and Forensic Science. As an aid to self study, this book aims to help general readers develop the necessary understanding of what is inside the 'black box' so they can use commercial data mining packages discriminatingly, as well as enabling advanced readers or academic researchers to understand or contribute to future technical advances in the field. Each chapter has practical exercises to enable readers to check their progress. A full glossary of technical terms used is included. This expanded third edition includes detailed descriptions of algorithms for classifying streaming data, both stationary data, where the underlying model is fixed, and data that is time-dependent, where the underlying model changes from time to time - a phenomenon known as concept drift.
Applied Predictive Modeling
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Author : Max Kuhn
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-05-17
Applied Predictive Modeling written by Max Kuhn 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 2013-05-17 with Medical categories.
Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book’s R package. This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics.
Smart Healthcare Systems
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Author : Adwitiya Sinha
language : en
Publisher: CRC Press
Release Date : 2019-07-24
Smart Healthcare Systems written by Adwitiya Sinha and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-24 with Computers categories.
About the Book The book provides details of applying intelligent mining techniques for extracting and pre-processing medical data from various sources, for application-based healthcare research. Moreover, different datasets are used, thereby exploring real-world case studies related to medical informatics. This book would provide insight to the learners about Machine Learning, Data Analytics, and Sustainable Computing. Salient Features of the Book Exhaustive coverage of Data Analysis using R Real-life healthcare models for: Visually Impaired Disease Diagnosis and Treatment options Applications of Big Data and Deep Learning in Healthcare Drug Discovery Complete guide to learn the knowledge discovery process, build versatile real life healthcare applications Compare and analyze recent healthcare technologies and trends Target Audience This book is mainly targeted at researchers, undergraduate, postgraduate students, academicians, and scholars working in the area of data science and its application to health sciences. Also, the book is beneficial for engineers who are engaged in developing actual healthcare solutions.