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Computational Science – ICCS 2020

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Cover of 'Computational Science – ICCS 2020'

Table of Contents

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    Book Overview
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    Chapter 1 Different Strategies of Fitting Logistic Regression for Positive and Unlabelled Data
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    Chapter 2 Branch-and-Bound Search for Training Cascades of Classifiers
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    Chapter 3 Application of the Stochastic Gradient Method in the Construction of the Main Components of PCA in the Task Diagnosis of Multiple Sclerosis in Children
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    Chapter 4 Grammatical Inference by Answer Set Programming
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    Chapter 5 Dynamic Classifier Selection for Data with Skewed Class Distribution Using Imbalance Ratio and Euclidean Distance
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    Chapter 6 On Model Evaluation Under Non-constant Class Imbalance
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    Chapter 7 A Correction Method of a Base Classifier Applied to Imbalanced Data Classification
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    Chapter 8 Standard Decision Boundary in a Support-Domain of Fuzzy Classifier Prediction for the Task of Imbalanced Data Classification
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    Chapter 9 Employing One-Class SVM Classifier Ensemble for Imbalanced Data Stream Classification
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    Chapter 10 Clustering and Weighted Scoring in Geometric Space Support Vector Machine Ensemble for Highly Imbalanced Data Classification
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    Chapter 11 Performance Analysis of Binarization Strategies for Multi-class Imbalanced Data Classification
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    Chapter 12 Towards Network Anomaly Detection Using Graph Embedding
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    Chapter 13 Maintenance and Security System for PLC Railway LED Sign Communication Infrastructure
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    Chapter 14 Fingerprinting of URL Logs: Continuous User Authentication from Behavioural Patterns
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    Chapter 15 On the Impact of Network Data Balancing in Cybersecurity Applications
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    Chapter 16 Pattern Recognition Model to Aid the Optimization of Dynamic Spectrally-Spatially Flexible Optical Networks
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    Chapter 17 Missing Features Reconstruction Using a Wasserstein Generative Adversarial Imputation Network
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    Chapter 18 Cooperation for Public Goods Under Uncertainty
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    Chapter 19 An Information-Theoretic and Dissipative Systems Approach to the Study of Knowledge Diffusion and Emerging Complexity in Innovation Systems
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    Chapter 20 Mapping the Port Influence Diffusion Patterns: A Case Study of Rotterdam, Antwerp and Singapore
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    Chapter 21 Entropy-Based Measure for Influence Maximization in Temporal Networks
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    Chapter 22 Evaluation of the Costs of Delayed Campaigns for Limiting the Spread of Negative Content, Panic and Rumours in Complex Networks
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    Chapter 23 From Generality to Specificity: On Matter of Scale in Social Media Topic Communities
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    Chapter 24 Hybrid Text Feature Modeling for Disease Group Prediction Using Unstructured Physician Notes
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    Chapter 25 Early Signs of Critical Slowing Down in Heart Surface Electrograms of Ventricular Fibrillation Victims
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    Chapter 26 A Comparison of Generalized Stochastic Milevsky-Promislov Mortality Models with Continuous Non-Gaussian Filters
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    Chapter 27 Ontology-Based Inference for Supporting Clinical Decisions in Mental Health
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    Chapter 28 Towards Prediction of Heart Arrhythmia Onset Using Machine Learning
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    Chapter 29 Stroke ICU Patient Mortality Day Prediction
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    Chapter 30 Universal Measure for Medical Image Quality Evaluation Based on Gradient Approach
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    Chapter 31 Constructing Holistic Patient Flow Simulation Using System Approach
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    Chapter 32 Investigating Coordination of Hospital Departments in Delivering Healthcare for Acute Coronary Syndrome Patients Using Data-Driven Network Analysis
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    Chapter 33 A Machine Learning Approach to Short-Term Body Weight Prediction in a Dietary Intervention Program
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    Chapter 34 An Analysis of Demographic Data in Irish Healthcare Domain to Support Semantic Uplift
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    Chapter 35 From Population to Subject-Specific Reference Intervals
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    Chapter 36 Analyzing the Spatial Distribution of Acute Coronary Syndrome Cases Using Synthesized Data on Arterial Hypertension Prevalence
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    Chapter 37 The Atrial Fibrillation Risk Score for Hyperthyroidism Patients
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    Chapter 38 Applicability of Machine Learning Methods to Multi-label Medical Text Classification
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    Chapter 39 Machine Learning Approach for the Early Prediction of the Risk of Overweight and Obesity in Young People
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    Chapter 40 Gait Abnormality Detection in People with Cerebral Palsy Using an Uncertainty-Based State-Space Model
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    Chapter 41 Analyses of Public Health Databases via Clinical Pathway Modelling: TBWEB
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    Chapter 42 Preliminary Results on Pulmonary Tuberculosis Detection in Chest X-Ray Using Convolutional Neural Networks
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    Chapter 43 Risk-Based AED Placement - Singapore Case
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    Chapter 44 Time Expressions Identification Without Human-Labeled Corpus for Clinical Text Mining in Russian
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    Chapter 45 Experiencer Detection and Automated Extraction of a Family Disease Tree from Medical Texts in Russian Language
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    Chapter 46 Machine Learning – The Results Are Not the only Thing that Matters! What About Security, Explainability and Fairness?
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    Chapter 47 Syntactic and Semantic Bias Detection and Countermeasures
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    Chapter 48 Detecting Rumours in Disasters: An Imbalanced Learning Approach
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    Chapter 49 Sentiment Analysis for Fake News Detection by Means of Neural Networks
Attention for Chapter 27: Ontology-Based Inference for Supporting Clinical Decisions in Mental Health
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Chapter title
Ontology-Based Inference for Supporting Clinical Decisions in Mental Health
Chapter number 27
Book title
Computational Science – ICCS 2020
Published by
Springer, Cham, June 2020
DOI 10.1007/978-3-030-50423-6_27
Book ISBNs
978-3-03-050422-9, 978-3-03-050423-6
Authors

Diego Bettiol Yamada, Filipe Andrade Bernardi, Newton Shydeo Brandão Miyoshi, Inácia Bezerra de Lima, André Luiz Teixeira Vinci, Vinicius Tohoru Yoshiura, Domingos Alves, Yamada, Diego Bettiol, Bernardi, Filipe Andrade, Miyoshi, Newton Shydeo Brandão, Lima, Inácia Bezerra de, Vinci, André Luiz Teixeira, Yoshiura, Vinicius Tohoru, Alves, Domingos

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 36%
Student > Bachelor 2 9%
Librarian 1 5%
Other 1 5%
Unspecified 1 5%
Other 3 14%
Unknown 6 27%
Readers by discipline Count As %
Computer Science 9 41%
Unspecified 1 5%
Nursing and Health Professions 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Medicine and Dentistry 1 5%
Other 1 5%
Unknown 8 36%

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