Intelligent Data Analysis for Biomedical Applications : Challenges and Solutions /

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 a...

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Main Authors: Hemanth, D. Jude, editor 648576, Gupta, Deepak, editor 636375, Balas, Valentina Emilia, editor 635809, ScienceDirect (Online service) 7722
Format: software, multimedia
Language:eng
Published: London : Academic Press, 2019
Subjects:
Online Access:https://www.sciencedirect.com/book/9780128155530
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author Hemanth, D. Jude, editor 648576
Gupta, Deepak, editor 636375
Balas, Valentina Emilia, editor 635809
ScienceDirect (Online service) 7722
author_facet Hemanth, D. Jude, editor 648576
Gupta, Deepak, editor 636375
Balas, Valentina Emilia, editor 635809
ScienceDirect (Online service) 7722
author_sort Hemanth, D. Jude, editor 648576
collection OCEAN
description 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.
first_indexed 2024-03-05T17:18:16Z
format software, multimedia
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institution Universiti Teknologi Malaysia - OCEAN
language eng
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publishDate 2019
publisher London : Academic Press,
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spelling KOHA-OAI-TEST:6057912023-10-16T08:14:10ZIntelligent Data Analysis for Biomedical Applications : Challenges and Solutions / Hemanth, D. Jude, editor 648576 Gupta, Deepak, editor 636375 Balas, Valentina Emilia, editor 635809 ScienceDirect (Online service) 7722 software, multimedia Electronic books 631902 London : Academic Press,2019©2019engIntelligent 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.Includes index.Chapter 1 - IoT-Based Intelligent Capsule Endoscopy System: A Technical Review -- Chapter 2 - Optimization of Methods for Image-Texture Segmentation Using Ant Colony Optimization -- Chapter 3 - A Feature Fusion-Based Discriminant Learning Model for Diagnosis of Neuromuscular Disorders Using Single-Channel Needle Electromyogram Signals -- Chapter 4 - Evolution of Consciousness Systems With Bacterial Behaviour -- Chapter 5 - Analysis of Transform-Based Compression Techniques for MRI and CT Images -- Chapter 6 - A Medical Image Retrieval System in PACS Environment for Clinical Decision Making -- Chapter 7 - A Neuro-Fuzzy Inference Model for Diabetic Retinopathy Classification -- Chapter 8 - Computational Automated System for Red Blood Cell Detection and Segmentation -- Chapter 9 - Evolutionary Algorithm With Memetic Search Capability for Optic Disc Localization in Retinal Fundus Images -- Chapter 10 - Classification of Myocardial Ischemia in Delayed Contrast Enhancement Using Machine Learning -- Chapter 11 - Simple-Link Sensor Network-Based Remote Monitoring of Multiple Patients -- Chapter 12 - Hybrid Approach for Classification of Electroencephalographic Signals Using Time–Frequency Images With Wavelets and Texture Features -- IndexIntelligent 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.Biomedical engineeringhttps://www.sciencedirect.com/book/9780128155530URN:ISBN:9780128155530Remote access restricted to users with a valid UTM ID via VPN.
spellingShingle Biomedical engineering
Hemanth, D. Jude, editor 648576
Gupta, Deepak, editor 636375
Balas, Valentina Emilia, editor 635809
ScienceDirect (Online service) 7722
Intelligent Data Analysis for Biomedical Applications : Challenges and Solutions /
title Intelligent Data Analysis for Biomedical Applications : Challenges and Solutions /
title_full Intelligent Data Analysis for Biomedical Applications : Challenges and Solutions /
title_fullStr Intelligent Data Analysis for Biomedical Applications : Challenges and Solutions /
title_full_unstemmed Intelligent Data Analysis for Biomedical Applications : Challenges and Solutions /
title_short Intelligent Data Analysis for Biomedical Applications : Challenges and Solutions /
title_sort intelligent data analysis for biomedical applications challenges and solutions
topic Biomedical engineering
url https://www.sciencedirect.com/book/9780128155530
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