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A Gentle Introduction To Support Vector Machines In Biomedicine Theory And Methods


A Gentle Introduction To Support Vector Machines In Biomedicine Theory And Methods
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A Gentle Introduction To Support Vector Machines In Biomedicine Theory And Methods


A Gentle Introduction To Support Vector Machines In Biomedicine Theory And Methods
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Author : Alexander Statnikov
language : en
Publisher: World Scientific
Release Date : 2011

A Gentle Introduction To Support Vector Machines In Biomedicine Theory And Methods written by Alexander Statnikov and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Computers categories.


Support Vector Machines (SVMs) are among the most important recent developments in pattern recognition and statistical machine learning. They have found a great range of applications in various fields including biology and medicine. However, biomedical researchers often experience difficulties grasping both the theory and applications of these important methods because of lack of technical background. The purpose of this book is to introduce SVMs and their extensions and allow biomedical researchers to understand and apply them in real-life research in a very easy manner. The book is to consist of two volumes: theory and methods (Volume 1) and cases studies (Volume 2).The proposed book follows the approach of ?programmed learning? whereby material is presented in short sections called ?frames?. Each frame consists of a very small amount of information to be learned, a multiple choice quiz, and answers to the quiz. The reader can proceed to the next frame only after verifying the correct answers to the current frame.



Gentle Introduction To Support Vector Machines In Biomedicine A Volume 1 Theory And Methods


Gentle Introduction To Support Vector Machines In Biomedicine A Volume 1 Theory And Methods
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Author : Alexander Statnikov
language : en
Publisher: World Scientific Publishing Company
Release Date : 2011-02-22

Gentle Introduction To Support Vector Machines In Biomedicine A Volume 1 Theory And Methods written by Alexander Statnikov and has been published by World Scientific Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-22 with Science categories.


Support Vector Machines (SVMs) are among the most important recent developments in pattern recognition and statistical machine learning. They have found a great range of applications in various fields including biology and medicine. However, biomedical researchers often experience difficulties grasping both the theory and applications of these important methods because of lack of technical background. The purpose of this book is to introduce SVMs and their extensions and allow biomedical researchers to understand and apply them in real-life research in a very easy manner. The book is to consist of two volumes: theory and methods (Volume 1) and case studies (Volume 2).



Gentle Introduction To Support Vector Machines In Biomedicine A Volume 2 Case Studies And Benchmarks


Gentle Introduction To Support Vector Machines In Biomedicine A Volume 2 Case Studies And Benchmarks
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Author : Alexander Statnikov
language : en
Publisher: World Scientific Publishing Company
Release Date : 2013-03-21

Gentle Introduction To Support Vector Machines In Biomedicine A Volume 2 Case Studies And Benchmarks written by Alexander Statnikov and has been published by World Scientific Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-21 with Science categories.


Support Vector Machines (SVMs) are among the most important recent developments in pattern recognition and statistical machine learning. They have found a great range of applications in various fields including biology and medicine. However, biomedical researchers often experience difficulties grasping both the theory and applications of these important methods because of lack of technical background. The purpose of this book is to introduce SVMs and their extensions and allow biomedical researchers to understand and apply them in real-life research in a very easy manner. The book is to consist of two volumes: theory and methods (Volume 1) and case studies (Volume 2).



Artificial Intelligence And Machine Learning In Health Care And Medical Sciences


Artificial Intelligence And Machine Learning In Health Care And Medical Sciences
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Author : Gyorgy J. Simon
language : en
Publisher: Springer Nature
Release Date : 2024-03-04

Artificial Intelligence And Machine Learning In Health Care And Medical Sciences written by Gyorgy J. Simon and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-04 with Medical categories.


This open access book provides a detailed review of the latest methods and applications of artificial intelligence (AI) and machine learning (ML) in medicine. With chapters focusing on enabling the reader to develop a thorough understanding of the key concepts in these subject areas along with a range of methods and resulting models that can be utilized to solve healthcare problems, the use of causal and predictive models are comprehensively discussed. Care is taken to systematically describe the concepts to facilitate the reader in developing a thorough conceptual understanding of how different methods and resulting models function and how these relate to their applicability to various issues in health care and medical sciences. Guidance is also given on how to avoid pitfalls that can be encountered on a day-to-day basis and stratify potential clinical risks. Artificial Intelligence and Machine Learning in Health Care and Medical Sciences: Best Practices and Pitfallsis a comprehensive guide to how AI and ML techniques can best be applied in health care. The emphasis placed on how to avoid a variety of pitfalls that can be encountered makes it an indispensable guide for all medical informatics professionals and physicians who utilize these methodologies on a day-to-day basis. Furthermore, this work will be of significant interest to health data scientists, administrators and to students in the health sciences seeking an up-to-date resource on the topic.



Big Data Enabled Nursing


Big Data Enabled Nursing
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Author : Connie W. Delaney
language : en
Publisher: Springer
Release Date : 2017-11-02

Big Data Enabled Nursing written by Connie W. Delaney and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-02 with Medical categories.


Historically, nursing, in all of its missions of research/scholarship, education and practice, has not had access to large patient databases. Nursing consequently adopted qualitative methodologies with small sample sizes, clinical trials and lab research. Historically, large data methods were limited to traditional biostatical analyses. In the United States, large payer data has been amassed and structures/organizations have been created to welcome scientists to explore these large data to advance knowledge discovery. Health systems electronic health records (EHRs) have now matured to generate massive databases with longitudinal trending. This text reflects how the learning health system infrastructure is maturing, and being advanced by health information exchanges (HIEs) with multiple organizations blending their data, or enabling distributed computing. It educates the readers on the evolution of knowledge discovery methods that span qualitative as well as quantitative data mining, including the expanse of data visualization capacities, are enabling sophisticated discovery. New opportunities for nursing and call for new skills in research methodologies are being further enabled by new partnerships spanning all sectors.



Pattern Recognition And Big Data


Pattern Recognition And Big Data
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Author : Sankar Kumar Pal
language : en
Publisher: World Scientific
Release Date : 2016-12-15

Pattern Recognition And Big Data written by Sankar Kumar Pal and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-15 with Computers categories.


Containing twenty six contributions by experts from all over the world, this book presents both research and review material describing the evolution and recent developments of various pattern recognition methodologies, ranging from statistical, linguistic, fuzzy-set-theoretic, neural, evolutionary computing and rough-set-theoretic to hybrid soft computing, with significant real-life applications.Pattern Recognition and Big Data provides state-of-the-art classical and modern approaches to pattern recognition and mining, with extensive real life applications. The book describes efficient soft and robust machine learning algorithms and granular computing techniques for data mining and knowledge discovery; and the issues associated with handling Big Data. Application domains considered include bioinformatics, cognitive machines (or machine mind developments), biometrics, computer vision, the e-nose, remote sensing and social network analysis.



An Introduction To Iot Analytics


An Introduction To Iot Analytics
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Author : Harry G. Perros
language : en
Publisher: CRC Press
Release Date : 2021-03-31

An Introduction To Iot Analytics written by Harry G. Perros and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-31 with Business & Economics categories.


This book covers techniques that can be used to analyze data from IoT sensors and addresses questions regarding the performance of an IoT system. It strikes a balance between practice and theory so one can learn how to apply these tools in practice with a good understanding of their inner workings. This is an introductory book for readers who have no familiarity with these techniques. The techniques presented in An Introduction to IoT Analytics come from the areas of machine learning, statistics, and operations research. Machine learning techniques are described that can be used to analyze IoT data generated from sensors for clustering, classification, and regression. The statistical techniques described can be used to carry out regression and forecasting of IoT sensor data and dimensionality reduction of data sets. Operations research is concerned with the performance of an IoT system by constructing a model of the system under study and then carrying out a what-if analysis. The book also describes simulation techniques. Key Features IoT analytics is not just machine learning but also involves other tools, such as forecasting and simulation techniques. Many diagrams and examples are given throughout the book to fully explain the material presented. Each chapter concludes with a project designed to help readers better understand the techniques described. The material in this book has been class tested over several semesters. Practice exercises are included with solutions provided online at www.routledge.com/9780367686314 Harry G. Perros is a Professor of Computer Science at North Carolina State University, an Alumni Distinguished Graduate Professor, and an IEEE Fellow. He has published extensively in the area of performance modeling of computer and communication systems.



Wearable Sensors


Wearable Sensors
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Author : Edward Sazonov
language : en
Publisher: Elsevier
Release Date : 2014-08-14

Wearable Sensors written by Edward Sazonov and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-14 with Technology & Engineering categories.


Written by industry experts, this book aims to provide you with an understanding of how to design and work with wearable sensors. Together these insights provide the first single source of information on wearable sensors that would be a valuable addition to the library of any engineer interested in this field.Wearable Sensors covers a wide variety of topics associated with the development and application of various wearable sensors. It also provides an overview and coherent summary of many aspects of current wearable sensor technology.Both industry professionals and academic researchers will benefit from this comprehensive reference which contains the most up-to-date information on the advancement of lightweight hardware, energy harvesting, signal processing, and wireless communications and networks. Practical problems with smart fabrics, biomonitoring and health informatics are all addressed, plus end user centric design, ethical and safety issues. - Provides the first comprehensive resource of all currently used wearable devices in an accessible and structured manner - Helps engineers manufacture wearable devices with information on current technologies, with a focus on end user needs and recycling requirements - Combines the expertise of professionals and academics in one practical and applied source



The American Psychiatric Association Publishing Textbook Of Psychopharmacology Sixth Edition


The American Psychiatric Association Publishing Textbook Of Psychopharmacology Sixth Edition
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Author : Alan F. Schatzberg, M.D.
language : en
Publisher: American Psychiatric Pub
Release Date : 2024-03-22

The American Psychiatric Association Publishing Textbook Of Psychopharmacology Sixth Edition written by Alan F. Schatzberg, M.D. and has been published by American Psychiatric Pub this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-22 with Medical categories.




Sensors Fault Diagnosis Trends And Applications


Sensors Fault Diagnosis Trends And Applications
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Author : Piotr Witczak
language : en
Publisher: MDPI
Release Date : 2021-09-01

Sensors Fault Diagnosis Trends And Applications written by Piotr Witczak and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-01 with Technology & Engineering categories.


Fault diagnosis has always been a concern for industry. In general, diagnosis in complex systems requires the acquisition of information from sensors and the processing and extracting of required features for the classification or identification of faults. Therefore, fault diagnosis of sensors is clearly important as faulty information from a sensor may lead to misleading conclusions about the whole system. As engineering systems grow in size and complexity, it becomes more and more important to diagnose faulty behavior before it can lead to total failure. In the light of above issues, this book is dedicated to trends and applications in modern-sensor fault diagnosis.