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Brain Informatics and Health

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Cover of 'Brain Informatics and Health'

Table of Contents

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    Book Overview
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    Chapter 1 Neuronal Morphology Modeling Based on Microscopy Reconstruction Data in the Public Repositories
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    Chapter 2 Ventral Stream Plays an Important Role in Statistical Graph Comprehension: An fMRI Study
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    Chapter 3 Computational Neuro-Modeling of Visual Memory: Multimodal Imaging and Analysis
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    Chapter 4 When Are Two Visual Cognition Systems Better Than One?
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    Chapter 5 Shift of Brain-State during Recovery from Discomfort Induced by Aversive Pictures
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    Chapter 6 Consciousness Study of Subjects with Unresponsive Wakefulness Syndrome Employing Multimodal Interfaces
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    Chapter 7 Establishing a Baseline Value of Cognitive Skills among School-Aged Children in Upper Egypt Using Computer Based Cognitive Assessment Rehacom Program
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    Chapter 8 Autocovariance Based PCA Method for fMRI Data
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    Chapter 9 Balancing the Stability and Predictive Performance for Multivariate Voxel Selection in fMRI Study
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    Chapter 10 P3 Component Detection Using HHT
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    Chapter 11 A Novel Feature Extractor Based on Wavelet and Kernel PCA for Spike Sorting Neural Signals
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    Chapter 12 Artifacts Reduction Method in EEG Signals with Wavelet Transform and Adaptive Filter
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    Chapter 13 Utilizing Data Mining for Predictive Modeling of Colorectal Cancer Using Electronic Medical Records
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    Chapter 14 Extracting Phenotypes from Patient Claim Records Using Nonnegative Tensor Factorization
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    Chapter 15 Mining Professional Knowledge from Medical Records
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    Chapter 16 Predicting Flu Epidemics Using Twitter and Historical Data
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    Chapter 17 A Hierarchical Ensemble of α-Trees for Predicting Expensive Hospital Visits
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    Chapter 18 Text Analysis and Information Extraction from Spanish Written Documents
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    Chapter 19 Data-Brain Driven Documents Ranking for Constructing Brain Informatics Provenances
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    Chapter 20 A Brain Informatics Research Recommendation System
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    Chapter 21 Hadoop for EEG Storage and Processing: A Feasibility Study
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    Chapter 22 Supervised Learning for the Neurosurgery Intensive Care Unit Using Single-Layer Perceptron Classifiers
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    Chapter 23 Data and Information Granule Rules Retrieval: Differences of Activation in Parietal Cortex
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    Chapter 24 Multiple Inheritance Problem in Semantic Spreading Activation Networks
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    Chapter 25 Ontology-Based Text Classification for Filtering Cholangiocarcinoma Documents from PubMed
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    Chapter 26 An Ontology Based Knowledge Preservation Model for Traditional Unani Medicines
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    Chapter 27 A Computational Study of Robotic Therapy for Stroke Rehabilitation Based on Population Coding
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    Chapter 28 Real Time SVM for Health Monitoring System
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    Chapter 29 Augmenting Cognitive Reserve of Dementia Patients with Brain Aerobics
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    Chapter 30 Intraoperative Decision Making with Rough Set Rules for STN DBS in Parkinson Disease
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    Chapter 31 The Analysis of Correlation between MOCAP-Based and UPDRS-Based Evaluation of Gait in Parkinson’s Disease Patients
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    Chapter 32 Rough Set Rules Help to Optimize Parameters of Deep Brain Stimulation in Parkinson’s Patients
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    Chapter 33 Morphometric Basis of Depression in Parkinson’s Disease and the Possibility of Its Prediction
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    Chapter 34 An Approach to Detect Negation on Medical Documents in Spanish
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    Chapter 35 Are Some Brain Injury Patients Improving More Than Others?
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    Chapter 36 An Adaptive Expert System for Automated Advices Generation-Based Semi-continuous M-Health Monitoring
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    Chapter 37 Application of Artificial Neural Networks for the Diagnosis of the Condition of the Arterio-venous Fistula on the Basis of Acoustic Signals
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    Chapter 38 On the Statistical Performance of Connectivity Estimators in the Frequency Domain
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    Chapter 39 Causality and Influentiability: The Need for Distinct Neural Connectivity Concepts
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    Chapter 40 Local Dimension-Reduced Dynamical Spatio-Temporal Models for Resting State Network Estimation
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    Chapter 41 A Family of Reduced-Rank Neural Activity Indices for EEG/MEG Source Localization
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    Chapter 42 Neurologically Inspired Computational Cognitive Modelling of Situation Awareness
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    Chapter 43 Dealing with the Heterogeneous Multi-site Neuroimaging Data Sets: A Discrimination Study of Children Dyslexia
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    Chapter 44 Brain Informatics and Health
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    Chapter 45 Practice and Task Experience Change the Gradient Organization in the Resting Brain
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    Chapter 46 Extravaganza Tutorial on Hot Ideas for Interactive Knowledge Discovery and Data Mining in Biomedical Informatics
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    Chapter 47 Characterization of Subgroup Patterns from Graphical Representation of Genomic Data
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    Chapter 48 Moduli Spaces of Phylogenetic Trees Describing Tumor Evolutionary Patterns
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    Chapter 49 Characterizing Scales of Genetic Recombination and Antibiotic Resistance in Pathogenic Bacteria Using Topological Data Analysis
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    Chapter 50 On Graph Extraction from Image Data
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    Chapter 51 On Terrain Coverage Optimization by Using a Network Approach for Universal Graph-Based Data Mining and Knowledge Discovery
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    Chapter 52 Entropy-Based Data Mining on the Example of Cardiac Arrhythmia Suppression
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    Chapter 53 Characterizing Web User Visual Gaze Patterns: A Graph Theory Inspired Approach
Attention for Chapter 17: A Hierarchical Ensemble of α-Trees for Predicting Expensive Hospital Visits
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Chapter title
A Hierarchical Ensemble of α-Trees for Predicting Expensive Hospital Visits
Chapter number 17
Book title
Brain Informatics and Health
Published in
Lecture notes in computer science, August 2014
DOI 10.1007/978-3-319-09891-3_17
Book ISBNs
978-3-31-909890-6, 978-3-31-909891-3
Authors

Yubin Park, Joydeep Ghosh

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 100%
Readers by discipline Count As %
Computer Science 2 100%