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Intelligent Data Analysis for Biomedical Applications

Intelligent Data Analysis for Biomedical Applications
  • Author : Hemanth D. Jude
  • Publsiher : Academic Press
  • Release : 15 March 2019
  • ISBN : 0128156430
  • Pages : 294 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKIntelligent Data Analysis for Biomedical Applications

Summary:
Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition, machine learning, data abstraction and visualization tools for the analysis of data and discovery of mechanisms that create data. It provides computational methods and tools for intelligent data analysis, with an emphasis on problem-solving relating to automated data collection, such as computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and more. This book provides useful references for educational institutions, industry professionals, researchers, scientists, engineers and practitioners interested in intelligent data analysis, knowledge discovery, and decision support in databases. Provides the methods and tools necessary for intelligent data analysis and gives solutions to problems resulting from automated data collection Contains an analysis of medical databases to provide diagnostic expert systems Addresses the integration of intelligent data analysis techniques within biomedical information systems


Intelligent Data Analysis for Biomedical Applications

Intelligent Data Analysis for Biomedical Applications
  • Author : Hemanth D. Jude,Deepak Gupta,Valentina Emilia Balas
  • Publisher : Academic Press
  • Release : 15 March 2019
GET THIS BOOKIntelligent Data Analysis for Biomedical Applications

Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition, machine learning, data abstraction and visualization tools for the analysis of data and discovery of mechanisms that create data. It provides computational methods and tools for intelligent data analysis, with an emphasis on problem-solving relating to automated data collection, such as computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and more. This book provides useful references for educational institutions, industry professionals, researchers,

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Intelligent Data Analysis

Intelligent Data Analysis
  • Author : Deepak Gupta,Siddhartha Bhattacharyya,Ashish Khanna,Kalpna Sagar
  • Publisher : John Wiley & Sons
  • Release : 07 July 2020
GET THIS BOOKIntelligent Data Analysis

This book focuses on methods and tools for intelligent data analysis, aimed at narrowing the increasing gap between data gathering and data comprehension, and emphasis will also be given to solving of problems which result from automated data collection, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and so on. This book aims to describe the different approaches of Intelligent Data Analysis from a practical point of view: solving common life problems

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Intelligent Data Analysis

Intelligent Data Analysis
  • Author : Michael R. Berthold,David J Hand
  • Publisher : Springer
  • Release : 07 June 2007
GET THIS BOOKIntelligent Data Analysis

This second and revised edition contains a detailed introduction to the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete coverage of the core issues. The first half of the book is devoted to the discussion of classical statistical issues. The following chapters concentrate on machine learning and artificial intelligence, rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a chapter on visualization and an advanced

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Bioinformatics and Medical Applications

Bioinformatics and Medical Applications
  • Author : A. Suresh,S. Vimal,Y. Harold Robinson,Dhinesh Kumar Ramaswami,R. Udendhran
  • Publisher : John Wiley & Sons
  • Release : 12 April 2022
GET THIS BOOKBioinformatics and Medical Applications

BIOINFORMATICS AND MEDICAL APPLICATIONS The main topics addressed in this book are big data analytics problems in bioinformatics research such as microarray data analysis, sequence analysis, genomics-based analytics, disease network analysis, techniques for big data analytics, and health information technology. Bioinformatics and Medical Applications: Big Data Using Deep Learning Algorithms analyses massive biological datasets using computational approaches and the latest cutting-edge technologies to capture and interpret biological data. The book delivers various bioinformatics computational methods used to identify diseases at

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Deep Learning Techniques for Biomedical and Health Informatics

Deep Learning Techniques for Biomedical and Health Informatics
  • Author : Basant Agarwal,Valentina Emilia Balas,Lakhmi C. Jain,Ramesh Chandra Poonia,Manisha Sharma
  • Publisher : Academic Press
  • Release : 14 January 2020
GET THIS BOOKDeep Learning Techniques for Biomedical and Health Informatics

Deep Learning Techniques for Biomedical and Health Informatics provides readers with the state-of-the-art in deep learning-based methods for biomedical and health informatics. The book covers not only the best-performing methods, it also presents implementation methods. The book includes all the prerequisite methodologies in each chapter so that new researchers and practitioners will find it very useful. Chapters go from basic methodology to advanced methods, including detailed descriptions of proposed approaches and comprehensive critical discussions on experimental results and how they

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Intelligent Data Analysis for Real-Life Applications: Theory and Practice

Intelligent Data Analysis for Real-Life Applications: Theory and Practice
  • Author : Magdalena-Benedito, Rafael
  • Publisher : IGI Global
  • Release : 30 June 2012
GET THIS BOOKIntelligent Data Analysis for Real-Life Applications: Theory and Practice

With the recent and enormous increase in the amount of available data sets of all kinds, applying effective and efficient techniques for analyzing and extracting information from that data has become a crucial task. Intelligent Data Analysis for Real-Life Applications: Theory and Practice investigates the application of Intelligent Data Analysis (IDA) to these data sets through the design and development of algorithms and techniques to extract knowledge from databases. This pivotal reference explores practical applications of IDA, and it is

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Deep Learning for Medical Decision Support Systems

Deep Learning for Medical Decision Support Systems
  • Author : Utku Kose,Omer Deperlioglu,Jafar Alzubi,Bogdan Patrut
  • Publisher : Springer Nature
  • Release : 17 June 2020
GET THIS BOOKDeep Learning for Medical Decision Support Systems

This book explores various applications of deep learning-oriented diagnosis leading to decision support, while also outlining the future face of medical decision support systems. Artificial intelligence has now become a ubiquitous aspect of modern life, and especially machine learning enjoysgreat popularity, since it offers techniques that are capable of learning from samples to solve newly encountered cases. Today, a recent form of machine learning, deep learning, is being widely used with large, complex quantities of data, because today’s problems

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Translational Bioinformatics in Healthcare and Medicine

Translational Bioinformatics in Healthcare and Medicine
  • Author : Anonim
  • Publisher : Academic Press
  • Release : 13 May 2021
GET THIS BOOKTranslational Bioinformatics in Healthcare and Medicine

Translational Bioinformatics in Healthcare and Medicine offers an overview of main principles of bioinformatics, biological databases, clinical informatics, health informatics, viroinformatics and real-case applications of translational bioinformatics in healthcare. Written by experts from both technology and clinical sides, the content brings together essential knowledge to make the best of recent advancements of the field. The book discusses topics such as next generation sequence analysis, genomics in clinical care, IoT applications, blockchain technology, patient centered interoperability of EHR, health data mining,

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Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis

Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis
  • Author : Khalid Raza
  • Publisher : Springer Nature
  • Release : 16 October 2020
GET THIS BOOKComputational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis

The novel coronavirus disease 2019 (COVID-19) pandemic has posed a major threat to human life and health. This book is beneficial for interdisciplinary students, researchers, and professionals to understand COVID-19 and how computational intelligence can be used for the purpose of surveillance, control, prevention, prediction, diagnosis, and potential treatment of the disease. The book contains different aspects of COVID-19 that includes fundamental knowledge, epidemic forecast models, surveillance and tracking systems, IoT- and IoMT-based integrated systems for COVID-19, social network analysis systems

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Computational Intelligence and Predictive Analysis for Medical Science

Computational Intelligence and Predictive Analysis for Medical Science
  • Author : Poonam Tanwar,Praveen Kumar,Seema Rawat,Masoud Mohammadian,Saif Ahmad
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release : 08 November 2021
GET THIS BOOKComputational Intelligence and Predictive Analysis for Medical Science

This book uncovers stakes and possibilities offered by Computational Intelligence and Predictive Analytics to Medical Science. The main focus is on data technologies,classification, analysis and mining, information retrieval, and in the algorithms needed to elaborate the informations. A section with use cases and applications follows the two main parts of the book, respectively dedicated to the foundations and techniques of the discipline.

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Artificial Intelligence and Big Data Analytics for Smart Healthcare

Artificial Intelligence and Big Data Analytics for Smart Healthcare
  • Author : Miltiadis Lytras,Akila Sarirete,Anna Visvizi,Kwok Tai Chui
  • Publisher : Academic Press
  • Release : 22 October 2021
GET THIS BOOKArtificial Intelligence and Big Data Analytics for Smart Healthcare

Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved in healthcare as they strive to enhance the value added of healthcare and develop more sustainable healthcare systems. It brings together insights from emerging sophisticated information and communication technologies such as big data analytics, artificial intelligence, machine learning, data science, medical intelligence, and, by dwelling on their current and prospective applications, highlights managerial and policymaking challenges they may generate. The book

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Medical Applications of Intelligent Data Analysis: Research Advancements

Medical Applications of Intelligent Data Analysis: Research Advancements
  • Author : Magdalena-Benedito, Rafael
  • Publisher : IGI Global
  • Release : 30 June 2012
GET THIS BOOKMedical Applications of Intelligent Data Analysis: Research Advancements

"This book explores the potential of utilizing medical data through the implementation of developed models in practical applications"--Provided by publisher.

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Data Analytics in Biomedical Engineering and Healthcare

Data Analytics in Biomedical Engineering and Healthcare
  • Author : Kun Chang Lee,Sanjiban Sekhar Roy,Pijush Samui,Vijay Kumar
  • Publisher : Academic Press
  • Release : 18 October 2020
GET THIS BOOKData Analytics in Biomedical Engineering and Healthcare

Data Analytics in Biomedical Engineering and Healthcare explores key applications using data analytics, machine learning, and deep learning in health sciences and biomedical data. The book is useful for those working with big data analytics in biomedical research, medical industries, and medical research scientists. The book covers health analytics, data science, and machine and deep learning applications for biomedical data, covering areas such as predictive health analysis, electronic health records, medical image analysis, computational drug discovery, and genome structure prediction

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Handbook of Data Science Approaches for Biomedical Engineering

Handbook of Data Science Approaches for Biomedical Engineering
  • Author : Valentina Emilia Balas,Vijender Kumar Solanki,Raghvendra Kumar,Manju Khari
  • Publisher : Academic Press
  • Release : 13 November 2019
GET THIS BOOKHandbook of Data Science Approaches for Biomedical Engineering

Handbook of Data Science Approaches for Biomedical Engineering covers the research issues and concepts of biomedical engineering progress and the ways they are aligning with the latest technologies in IoT and big data. In addition, the book includes various real-time/offline medical applications that directly or indirectly rely on medical and information technology. Case studies in the field of medical science, i.e., biomedical engineering, computer science, information security, and interdisciplinary tools, along with modern tools and the technologies used

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