Book Volume 9605 2016

Machine Learning for Health Informatics

State-of-the-Art and Future Challenges

Editors:

ISBN: 978-3-319-50477-3 (Print) 978-3-319-50478-0 (Online)

Table of contents (22 chapters)

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  1. Front Matter

    Pages I-XXII

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    Chapter

    Pages 1-24

    Machine Learning for Health Informatics

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    Chapter

    Pages 25-36

    Bagging Soft Decision Trees

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    Chapter

    Pages 37-58

    Grammars for Discrete Dynamics

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    Chapter

    Pages 59-98

    Empowering Bridging Term Discovery for Cross-Domain Literature Mining in the TextFlows Platform

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    Chapter

    Pages 99-124

    Visualisation of Integrated Patient-Centric Data as Pathways: Enhancing Electronic Medical Records in Clinical Practice

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    Chapter

    Pages 125-148

    Deep Learning Trends for Focal Brain Pathology Segmentation in MRI

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    Chapter

    Pages 149-160

    Differentiation Between Normal and Epileptic EEG Using K-Nearest-Neighbors Technique

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    Chapter

    Pages 161-182

    Survey on Feature Extraction and Applications of Biosignals

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    Chapter

    Pages 183-208

    Argumentation for Knowledge Representation, Conflict Resolution, Defeasible Inference and Its Integration with Machine Learning

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    Chapter

    Pages 209-220

    Machine Learning and Data Mining Methods for Managing Parkinson’s Disease

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    Chapter

    Pages 221-242

    Challenges of Medical Text and Image Processing: Machine Learning Approaches

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    Chapter

    Pages 243-258

    Visual Intelligent Decision Support Systems in the Medical Field: Design and Evaluation

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    Chapter

    Pages 259-288

    A Master Pipeline for Discovery and Validation of Biomarkers

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    Chapter

    Pages 289-302

    Machine Learning Solutions in Computer-Aided Medical Diagnosis

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    Chapter

    Pages 303-318

    Processing Neurology Clinical Data for Knowledge Discovery: Scalable Data Flows Using Distributed Computing

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    Chapter

    Pages 319-336

    Network-Guided Biomarker Discovery

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    Chapter

    Pages 337-356

    Knowledge Discovery in Clinical Data

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    Chapter

    Pages 357-376

    Reasoning Under Uncertainty: Towards Collaborative Interactive Machine Learning

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    Chapter

    Pages 377-390

    Convolutional Neural Networks Applied for Parkinson’s Disease Identification

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    Chapter

    Pages 391-414

    Recommender Systems for Health Informatics: State-of-the-Art and Future Perspectives

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