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

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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.

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

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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.

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.

A Gentle Introduction To Support Vector Machines In Biomedicine

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Author :
language : en
Publisher:
Release Date : 2011

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

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.

Wipo Technology Trends 2019 Artificial Intelligence

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Author : World Intellectual Property Organization
language : en
Publisher: WIPO
Release Date : 2019-01-21

Wipo Technology Trends 2019 Artificial Intelligence written by World Intellectual Property Organization and has been published by WIPO this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-21 with Law categories.

The first report in a new flagship series, WIPO Technology Trends, aims to shed light on the trends in innovation in artificial intelligence since the field first developed in the 1950s.

The Practical Bioinformatician

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Author : Limsoon Wong
language : en
Publisher: World Scientific
Release Date : 2004

The Practical Bioinformatician written by Limsoon Wong and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Medical categories.

Computer scientists have increasingly been enlisted as "bioinformaticians" to assist molecular biologists in their research. This book is a practical introduction to bioinformatics for these computer scientists. The chapters are in-depth discussions by expert bioinformaticians on both general techniques and specific approaches to a range of selected bioinformatics problems. The book is organized into clusters of chapters on the following topics: - Overview of modern molecular biology and a broad spectrum of techniques from computer science -- data mining, machine learning, mathematical modeling, sequence alignment, data integration, workflow development, etc. - In-depth discussion of computational recognition of functional and regulatory sites in DNA sequences. - Incisive discussion of computational prediction of secondary structure of RNA sequences. - Overview of computational prediction of protein cellular localization, and selected discussions of inference of protein function. - Overview of methods for discovering protein-protein interactions. - Detailed discussion of approaches to gene expression analysis for the diagnosis of diseases, the treatment of diseases, and the understanding of gene functions. - Case studies on analysis of phylogenies, functional annotation of proteins, construction of purposebuilt integrated biological databases, and development of workflows underlying the large-scale-effort gene discovery. - Written in a practical, in-depth tutorial style - Covers a broad range of bioinformatics topics and of techniques used in bioinformatics - Comprehensive overviews of the development of various approaches in a number of selectedtopics - In-depth exposition of a number of important topics - Contributions by prominent researchers: Vladimir Bajic, Ming Li, Kenta Nakai, Limsoon Wong, Cathy Wu, etc. - Extensive, integrated references to background liter

Clustering Challenges In Biological Networks

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Author : Sergiy Butenko
language : en
Publisher: World Scientific
Release Date : 2009

Clustering Challenges In Biological Networks written by Sergiy Butenko and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Science categories.

This text offers introductory knowledge of a wide range of clustering and other quantitative techniques used to solve biological problems.

Quantitative Medical Data Analysis Using Mathematical Tools And Statistical Techniques

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Author : Don Hong
language : en
Publisher: World Scientific
Release Date : 2007-07-10

Quantitative Medical Data Analysis Using Mathematical Tools And Statistical Techniques written by Don Hong and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-07-10 with Medical categories.

Quantitative biomedical data analysis is a fast-growing interdisciplinary area of applied and computational mathematics, statistics, computer science, and biomedical science, leading to new fields such as bioinformatics, biomathematics, and biostatistics. In addition to traditional statistical techniques and mathematical models using differential equations, new developments with a very broad spectrum of applications, such as wavelets, spline functions, curve and surface subdivisions, sampling, and learning theory, have found their mathematical home in biomedical data analysis.This book gives a new and integrated introduction to quantitative medical data analysis from the viewpoint of biomathematicians, biostatisticians, and bioinformaticians. It offers a definitive resource to bridge the disciplines of mathematics, statistics, and biomedical sciences. Topics include mathematical models for cancer invasion and clinical sciences, data mining techniques and subset selection in data analysis, survival data analysis and survival models for cancer patients, statistical analysis and neural network techniques for genomic and proteomic data analysis, wavelet and spline applications for mass spectrometry data preprocessing and statistical computing.