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

Author : Alexander Statnikov
Publisher : World Scientific
ISBN 13 : 9814324388
Total Pages : 200 pages
Book Rating : 4.8/5 (143 download)

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Book Synopsis A Gentle Introduction to Support Vector Machines in Biomedicine: Theory and methods by : Alexander Statnikov

Download or read book A Gentle Introduction to Support Vector Machines in Biomedicine: Theory and methods written by Alexander Statnikov and published by World Scientific. This book was released on 2011 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

A Gentle Introduction to Support Vector Machines in Biomedicine

Author : Alexander Statnikov
Publisher : World Scientific Publishing Company
ISBN 13 : 9814518506
Total Pages : 212 pages
Book Rating : 4.8/5 (145 download)

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Book Synopsis A Gentle Introduction to Support Vector Machines in Biomedicine by : Alexander Statnikov

Download or read book A Gentle Introduction to Support Vector Machines in Biomedicine written by Alexander Statnikov and published by World Scientific Publishing Company. This book was released on 2013-03-21 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 -

Author : Alexander Romanovich Statnikov
Publisher :
ISBN 13 : 9789814335140
Total Pages : 200 pages
Book Rating : 4.3/5 (351 download)

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Book Synopsis Gentle Introduction To Support Vector Machines In Biomedicine, A - by : Alexander Romanovich Statnikov

Download or read book Gentle Introduction To Support Vector Machines In Biomedicine, A - written by Alexander Romanovich Statnikov and published by . This book was released on 2011 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Gentle Introduction To Support Vector Machines In Biomedicine, A -

Author : Alexander Statnikov
Publisher :
ISBN 13 : 9789814335157
Total Pages : 210 pages
Book Rating : 4.3/5 (351 download)

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Book Synopsis Gentle Introduction To Support Vector Machines In Biomedicine, A - by : Alexander Statnikov

Download or read book Gentle Introduction To Support Vector Machines In Biomedicine, A - written by Alexander Statnikov and published by . This book was released on 2012 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence and Machine Learning in Health Care and Medical Sciences

Author : Gyorgy J. Simon
Publisher : Springer Nature
ISBN 13 : 3031393554
Total Pages : 824 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Artificial Intelligence and Machine Learning in Health Care and Medical Sciences by : Gyorgy J. Simon

Download or read book Artificial Intelligence and Machine Learning in Health Care and Medical Sciences written by Gyorgy J. Simon and published by Springer Nature. This book was released on with total page 824 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Big Data-Enabled Nursing

Author : Connie W. Delaney
Publisher : Springer
ISBN 13 : 3319533002
Total Pages : 488 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Big Data-Enabled Nursing by : Connie W. Delaney

Download or read book Big Data-Enabled Nursing written by Connie W. Delaney and published by Springer. This book was released on 2017-11-02 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

An Introduction to IoT Analytics

Author : Harry G. Perros
Publisher : CRC Press
ISBN 13 : 1000337820
Total Pages : 373 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis An Introduction to IoT Analytics by : Harry G. Perros

Download or read book An Introduction to IoT Analytics written by Harry G. Perros and published by CRC Press. This book was released on 2021-03-31 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The American Psychiatric Association Publishing Textbook of Psychopharmacology, Sixth Edition

Author : Alan F. Schatzberg, M.D.
Publisher : American Psychiatric Pub
ISBN 13 : 1615374353
Total Pages : 2218 pages
Book Rating : 4.6/5 (153 download)

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Book Synopsis The American Psychiatric Association Publishing Textbook of Psychopharmacology, Sixth Edition by : Alan F. Schatzberg, M.D.

Download or read book The American Psychiatric Association Publishing Textbook of Psychopharmacology, Sixth Edition written by Alan F. Schatzberg, M.D. and published by American Psychiatric Pub. This book was released on 2024-03-22 with total page 2218 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Personalized and Precision Medicine Informatics

Author : Terrence Adam
Publisher : Springer Nature
ISBN 13 : 3030186261
Total Pages : 349 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Personalized and Precision Medicine Informatics by : Terrence Adam

Download or read book Personalized and Precision Medicine Informatics written by Terrence Adam and published by Springer Nature. This book was released on 2019-09-17 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book adopts an integrated and workflow-based treatment of the field of personalized and precision medicine (PPM). Outlined within are established, proven and mature workflows as well as emerging and highly-promising opportunities for development. Each workflow is reviewed in terms of its operation and how they are enabled by a multitude of informatics methods and infrastructures. The book goes on to describe which parts are crucial to discovery and which are essential to delivery and how each of these interface and feed into one-another. Personalized and Precision Medicine Informatics provides a comprehensive review of the integrative as well as interpretive nature of the topic and brings together a large body of literature to define the topic and ensure that this is the key reference for the topic. It is an unique contribution that is positioned to be an essential guide for both PPM experts and non-experts, and for both informatics and non-informatics professionals.

Wearable Sensors

Author : Edward Sazonov
Publisher : Elsevier
ISBN 13 : 0124186661
Total Pages : 656 pages
Book Rating : 4.1/5 (241 download)

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Book Synopsis Wearable Sensors by : Edward Sazonov

Download or read book Wearable Sensors written by Edward Sazonov and published by Elsevier. This book was released on 2014-08-14 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Biological Distance Analysis

Author : Marin A. Pilloud
Publisher : Academic Press
ISBN 13 : 0128019719
Total Pages : 518 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Biological Distance Analysis by : Marin A. Pilloud

Download or read book Biological Distance Analysis written by Marin A. Pilloud and published by Academic Press. This book was released on 2016-08-19 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biological Distance Analysis: Forensic and Bioarchaeological Perspectives synthesizes research within the realm of biological distance analysis, highlighting current work within the field and discussing future directions. The book is divided into three main sections. The first section clearly outlines datasets and methods within biological distance analysis, beginning with a brief history of the field and how it has progressed to its current state. The second section focuses on approaches using the individual within a forensic context, including ancestry estimation and case studies. The final section concentrates on population-based bioarchaeological approaches, providing key techniques and examples from archaeological samples. The volume also includes an appendix with additional resources available to those interested in biological distance analyses. Defines datasets and how they are used within biodistance analysis Applies methodology to individual and population studies Bridges the sub-fields of forensic anthropology and bioarchaeology Highlights current research and future directions of biological distance analysis Identifies statistical programs and datasets for use in biodistance analysis Contains cases studies and thorough index for those interested in biological distance analyses

Pattern Recognition And Big Data

Author : Pal Sankar Kumar
Publisher : World Scientific
ISBN 13 : 9813144564
Total Pages : 876 pages
Book Rating : 4.8/5 (131 download)

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Book Synopsis Pattern Recognition And Big Data by : Pal Sankar Kumar

Download or read book Pattern Recognition And Big Data written by Pal Sankar Kumar and published by World Scientific. This book was released on 2016-12-15 with total page 876 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Handbook of Whale Optimization Algorithm

Author : Seyedali Mirjalili
Publisher : Elsevier
ISBN 13 : 0323953646
Total Pages : 688 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Handbook of Whale Optimization Algorithm by : Seyedali Mirjalili

Download or read book Handbook of Whale Optimization Algorithm written by Seyedali Mirjalili and published by Elsevier. This book was released on 2023-11-24 with total page 688 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Whale Optimization Algorithm: Variants, Hybrids, Improvements, and Applications provides the most in-depth look at an emerging meta-heuristic that has been widely used in both science and industry. Whale Optimization Algorithm has been cited more than 5000 times in Google Scholar, thus solving optimization problems using this algorithm requires addressing a number of challenges including multiple objectives, constraints, binary decision variables, large-scale search space, dynamic objective function, and noisy parameters to name a few. This handbook provides readers with in-depth analysis of this algorithm and existing methods in the literature to cope with such challenges. The authors and editors also propose several improvements, variants and hybrids of this algorithm. Several applications are also covered to demonstrate the applicability of methods in this book. Provides in-depth analysis of equations, mathematical models and mechanisms of the Whale Optimization Algorithm Proposes different variants of the Whale Optimization Algorithm to solve binary, multiobjective, noisy, dynamic and combinatorial optimization problems Demonstrates how to design, develop and test different hybrids of Whale Optimization Algorithm Introduces several application areas of the Whale Optimization Algorithm, focusing on sustainability Includes source code from applications and algorithms that is available online

Support Vector Machines and Their Application in Chemistry and Biotechnology

Author : Yizeng Liang
Publisher : CRC Press
ISBN 13 : 9781138381971
Total Pages : 211 pages
Book Rating : 4.3/5 (819 download)

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Book Synopsis Support Vector Machines and Their Application in Chemistry and Biotechnology by : Yizeng Liang

Download or read book Support Vector Machines and Their Application in Chemistry and Biotechnology written by Yizeng Liang and published by CRC Press. This book was released on 2018-09-10 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: Support vector machines (SVMs) are used in a range of applications, including drug design, food quality control, metabolic fingerprint analysis, and microarray data-based cancer classification. While most mathematicians are well-versed in the distinctive features and empirical performance of SVMs, many chemists and biologists are not as familiar with what they are and how they work. Presenting a clear bridge between theory and application, Support Vector Machines and Their Application in Chemistry and Biotechnology provides a thorough description of the mechanism of SVMs from the point of view of chemists and biologists, enabling them to solve difficult problems with the help of these powerful tools. Topics discussed include: Background and key elements of support vector machines and applications in chemistry and biotechnology Elements and algorithms of support vector classification (SVC) and support vector regression (SVR) machines, along with discussion of simulated datasets The kernel function for solving nonlinear problems by using a simple linear transformation method Ensemble learning of support vector machines Applications of support vector machines to near-infrared data Support vector machines and quantitative structure-activity/property relationship (QSAR/QSPR) Quality control of traditional Chinese medicine by means of the chromatography fingerprint technique The use of support vector machines in exploring the biological data produced in OMICS study Beneficial for chemical data analysis and the modeling of complex physic-chemical and biological systems, support vector machines show promise in a myriad of areas. This book enables non-mathematicians to understand the potential of SVMs and utilize them in a host of applications.

Biomedical Measurement Systems and Data Science

Author : Michael Insana
Publisher : Cambridge University Press
ISBN 13 : 1316832767
Total Pages : 405 pages
Book Rating : 4.3/5 (168 download)

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Book Synopsis Biomedical Measurement Systems and Data Science by : Michael Insana

Download or read book Biomedical Measurement Systems and Data Science written by Michael Insana and published by Cambridge University Press. This book was released on 2021-06-17 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the fundamental principles of biomedical measurement design and performance evaluation with this hands-on guide. Whether you develop measurement instruments or use them in novel ways, this practical text will prepare you to be an effective generator and consumer of biomedical data. Designed for both classroom instruction and self-study, it explains how information is encoded into recorded data and can be extracted and displayed in an accessible manner. Describes and integrates experimental design, performance assessment, classification, and system modelling. Combines mathematical concepts with computational models, providing the tools needed to answer advanced biomedical questions. Includes MATLAB® scripts throughout to help readers model all types of biomedical systems, and contains numerous homework problems, with a solutions manual available online. This is an essential text for advanced undergraduate and graduate students in bioengineering, electrical and computer engineering, computer science, medical physics, and anyone preparing for a career in biomedical sciences and engineering.

Practical Machine Learning for Data Analysis Using Python

Author : Abdulhamit Subasi
Publisher : Academic Press
ISBN 13 : 0128213809
Total Pages : 534 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Practical Machine Learning for Data Analysis Using Python by : Abdulhamit Subasi

Download or read book Practical Machine Learning for Data Analysis Using Python written by Abdulhamit Subasi and published by Academic Press. This book was released on 2020-06-05 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical Machine Learning for Data Analysis Using Python is a problem solver’s guide for creating real-world intelligent systems. It provides a comprehensive approach with concepts, practices, hands-on examples, and sample code. The book teaches readers the vital skills required to understand and solve different problems with machine learning. It teaches machine learning techniques necessary to become a successful practitioner, through the presentation of real-world case studies in Python machine learning ecosystems. The book also focuses on building a foundation of machine learning knowledge to solve different real-world case studies across various fields, including biomedical signal analysis, healthcare, security, economics, and finance. Moreover, it covers a wide range of machine learning models, including regression, classification, and forecasting. The goal of the book is to help a broad range of readers, including IT professionals, analysts, developers, data scientists, engineers, and graduate students, to solve their own real-world problems. Offers a comprehensive overview of the application of machine learning tools in data analysis across a wide range of subject areas Teaches readers how to apply machine learning techniques to biomedical signals, financial data, and healthcare data Explores important classification and regression algorithms as well as other machine learning techniques Explains how to use Python to handle data extraction, manipulation, and exploration techniques, as well as how to visualize data spread across multiple dimensions and extract useful features

Pooling Designs and Nonadaptive Group Testing

Author : Dingzhu Du
Publisher : World Scientific Publishing Company
ISBN 13 :
Total Pages : 258 pages
Book Rating : 4.3/5 (97 download)

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Book Synopsis Pooling Designs and Nonadaptive Group Testing by : Dingzhu Du

Download or read book Pooling Designs and Nonadaptive Group Testing written by Dingzhu Du and published by World Scientific Publishing Company. This book was released on 2006 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Pooling designs have been widely used in various aspects of DNA sequencing. In biological applications, the well-studied mathematical problem called "group testing" shifts its focus to nonadaptive algorithms while the focus of traditional group testing is on sequential algorithms. Biological applications also bring forth new models not previously considered, such as the error-tolerant model, the complex model, and the inhibitor model. This book is the first attempt to collect all the significant research on pooling designs in one convenient place." "The coverage includes many real biological applications such as clone library screening, contig sequencing, exon boundary finding and protein-protein interaction detecting and introduces the mathematics behind it."--BOOK JACKET.