Health Information Science: 12th International Conference, HIS 2023, Melbourne, VIC, Australia, October 23–24, 2023, Proceedings (Lecture Notes in Computer Science)

This book constitutes the refereed proceedings of the 12th International Conference on Health Information Science, HIS 2023, held in Melbourne, VIC, Australia, during October 23–24, 2023. The 20 full papers and 9 short papers included in this book were carefully reviewed and selected from 54 submissions. They were organized in topical sections as follows: Depression & Mental Health, Data Security, Privacy & Healthcare Systems, Neurological & Cognitive Disease Studies, COVID-19 Impact Studies, Advanced Medical Data & AI Techniques, Predictive Analysis & Disease Recognition, Medical Imaging & Dataset Exploration, Elderly Care and Knowledge Systems. Preface Organization Contents Depression and Mental Health Detection of Depression and Its Likelihood in Children and Adolescents: Evidence from a 15-Years Study 1 Introduction 2 Methodology 2.1 Data Processing 2.2 Case Selection 2.3 Machine Learning Based Process 3 Experiments 3.1 Dataset 3.2 Sample 3.3 Result and Analysis 4 Discussion 5 Conclusion References A Combined Attribute Extraction Method for Detecting Postpartum Depression Using Social Media 1 Introduction 2 Materials 3 Methods 3.1 Data Pre-processing 3.2 Attributes Extraction 3.3 Text Classification Techniques 4 Experimental Results 4.1 Attributes Analysis of Various Methods 4.2 Classification Results 5 Conclusion and Future Work References Network Analysis of Relationships and Change Patterns in Depression and Multiple Chronic Diseases Based on the China Health and Retirement Longitudinal Study 1 Introduction 2 Methods 2.1 Study Population and Measurements 2.2 Statistical Analyses 3 Results 3.1 Characteristics of the Study Population 3.2 Depression, Chronic Diseases Network 3.3 Network Stability and Accuracy 3.4 Network Comparisons Test (NCT) 4 Discussion References Exploring Etiology of Nonsuicidal Self-injury by Using Knowledge Graph Approach 1 Introduction 2 Knowledge Graphs 3 Knowledge Graphs of NSSI 4 Case Study: Semantic Analysis on the Etiology of NSSI Related with Mental States 5 Discussion and Conclusion 5.1 Discussion 5.2 Future Work and Conclusions References A Question and Answering System for Mental Health of the Elderly Based on BiLSTM-CRF Model and Knowledge Graph 1 Introduction 2 Data Resources and Data Processing 2.1 Data Resources 2.2 Data Processing 3 Research Methods 3.1 The Elderly Mental Health Question and Answering System 3.2 Named-Entity Recognition 3.3 BiLSTM-CRF Model 3.4 Answer Matching 4 Experimental Results Display and Analysis 4.1 Experimental Setup 4.2 Implementation and Verification of Question and Answering System 5 Conclusion References Data Security, Privacy and Healthcare Systems Australia’s Notifiable Data Breach Scheme: An Analysis of Risk Management Findings for Healthcare 1 Introduction 2 Methods 2.1 Descriptive Statistics for High Level Data Breach Causes 2.2 Descriptive Statistics for Detailed Data Breach Causes 2.3 Pareto Analysis 2.4 Correlation of Data Breach Causes 3 Principal Results 4 Discussion 4.1 Limitations and Future Work 5 Conclusions References Analysis and Protection of Public Medical Dataset: From Privacy Perspective 1 Introduction 2 Method 2.1 Anonymization Approaches in Medical Data 2.2 Differential Privacy in Medical Data 3 Analysis 3.1 Improving k and l 4 Conclusion References Enhancing Health Information Systems Security: An Ontology Model Approach 1 Introduction 2 Background and Related Work 3 Research Motivations 4 Ontology Security Policy 5 SWRL Rule-Bases 6 Discussion 7 Conclusions and Future Research References Developing a Comprehensive Risk Management Framework for E-Health Care Delivery 1 Introduction 1.1 Overview of E-Health and Telemedicine 1.2 The Impact of COVID-19 on the Surge of E-Health and Telemedicine 1.3 The Need for a Comprehensive Risk Management Framework for E-Health and Telemedicine 2 Literature Review 2.1 Current Risk Management Approaches in E-Health and Telemedicine 2.2 The Role of AI in Healthcare Risk Management 2.3 Legal, Ethical, and Societal Implications of E-Health and Telemedicine 3 The Proposed Risk Management Framework 3.1 Detailed Description of the Proposed Risk Management Framework 3.2 Role of AI in the Proposed Framework 3.3 Explanation of How the Framework Addresses the Unique Challenges of E-Health and Telemedicine 4 Conclusion References Neurological and Cognitive Disease Studies Knowledge-Based Nonlinear to Linear Dataset Transformation for Chronic Illness Classification 1 Introduction 2 Related Work 3 Methodology 3.1 Data Sources and Ground Truth 3.2 Preparation of Baseline Datasets 3.3 Nonlinear to Linear Transformation 3.4 Classifier Performance Evaluation 4 Results 4.1 Ablation Study 5 Future Work and Conclusion References A Robust Approach for Parkinson Disease Detection from Voice Signal 1 Introduction 2 Data Description 3 Materials and Methods 3.1 Proposed Parkinson’s Disease Detection Framework 3.2 Pre-processing and Segmentation Phase 3.3 Empirical Mode Decomposition 3.4 Features Extraction 3.5 Classifiers 3.6 Performance Metrics 4 Experimental Results and Discussion 4.1 Classifiers Results Based on Different Classifiers 4.2 Cross-Fold Validation 4.3 Complexity Time of the Proposed Model 5 Conclusion References Analysis on Association Between Vascular Risk Factors and Lifestyle Factors with the Risk of Dementia/Alzheimer’s Disease Using Medical Ontologies 1 Introduction 2 Methods 2.1 Medical Ontology and Terminology 2.2 For the Perspective of Clinical Experience 2.3 The Hypothesis 3 Results 3.1 The Sub-concepts in SNOMED CT of VRFs and Life Style 3.2 The Incident of AD in the Cohort 4 Discussion 5 Conclusions 6 Strengths and Limitations References COVID-19 Impact Studies Unveiling the Pandemic's Impact: A Dataset for Probing COVID-19's Effects on E-Learning Activities and Academic Performance 1 Introduction 2 Literature Review 3 Dataset Construction 3.1 Data Collection 3.2 Statistical Analysis and Visualization 3.3 Correlation Analysis 4 Regression Analysis 4.1 Random Forest 4.2 Linear Regression 4.3 Bayesian Linear Regression 4.4 Results of Regression Models 5 COVID-19 Implication 6 Conclusion References Understanding the Influence of Multiple Factors on the Spread of Omicron Variant Strains via the Multivariate Regression Method 1 Introduction 2 Related Work 2.1 Understanding of Omicron 2.2 Research on Factors Influencing Omicron Transmission 3 Data Sources 4 Research Method 4.1 Calculation Method of Daily New Omicron Cases 4.2 Multiple Regression Analysis of Factors Affecting the Transmission of Omicron Variant 4.3 Multiple Regression Analysis Model Optimization via Gauss-Newton Iteration Method 5 Results and Analysis 5.1 Construction and Training of Multiple Regression Model 5.2 Calculation and Analysis of the Coefficients for Multiple Factors 5.3 Further Analysis 6 Conclusions and Future Work References Analyzing the Impact of COVID-19 on Education: A Comparative Study Based on TOEFL Test Results 1 Introduction 2 Literature Review 3 Methodology 3.1 Data Collection and Pre-processing 3.2 Research Design 4 Results 5 Discussion 6 Implications 7 Conclusion References Advanced Medical Data and AI Techniques BiblioEngine: An AI-Empowered Platform for Disease Genetic Knowledge Mining 1 Introduction 2 Platform Framework and Methodology 2.1 Multiple AI-Empowered Data Source Integration 2.2 Data Processing and Network Construction 2.3 Research Intelligence Discovery 2.4 Entity Ranking and Gene Profiling 3 Case Study: Stroke Genetic Research Analysis 3.1 Data Collection and Processing 3.2 Key Players and Knowledge Landscape in Stroke Genetic Studies 3.3 Gene Maps and Biomedical Entity Rankings 4 Conclusions and Further Study References Enhancing Clustering Performance in Sepsis Time Series Data Using Gravity Field 1 Introduction 2 Related Work 2.1 Similarity in Time Series 2.2 Using Field to Improve Datasets 3 Method 3.1 Distance Computation with Dynamic Time Warping 3.2 Preprocess the Dataset with HIBOG Algorithm 3.3 Clustering Method 4 Experiment 4.1 Experiments on Non-medical Datasets 4.2 Experiments on Medical Dataset 5 Conclusion References Multi-modal Medical Data Exploration Based on Data Lake 1 Introduction 2 Related Work 3 Architecture Design 3.1 Architecture Overview 4 Data Migration and Optimization Method 4.1 Data Migration 4.2 Data Exploration and Optimization Scheme 5 Experiment and Analysis 5.1 Experimental Environment 5.2 Experimental Data and Scheme 5.3 Experimental Results and Analysis 6 Conclusion and Future Work References Multi-model Transfer Learning and Genotypic Analysis for Seizure Type Classification 1 Introduction 2 Related Work 2.1 Automated Seizure Classification 2.2 Transfer Learning of Convolutional Neural Network 2.3 Self-attention Mechanism 3 Proposed Methodology 3.1 Phenotypic Analysis: Pre-processing and Connectivity Analysis 3.2 Multi-model Weighting System 3.3 Genotypic Analysis: PRS Calculation 4 Experiments 4.1 Phenotypic and Genotypic Dataset 4.2 Parameter Setup and Baseline Methods 4.3 Seizure Classification Results 5 Discussion 6 Conclusion and Future Work References Requirement Survey in Thai Clinician for Designing Digital Solution of Pain Assessment 1 Introduction 2 Method 2.1 RQ1 What are the Pain Assessment Methods that Clinicians Acknowledge? 2.2 RQ2: What are the Pain Scale Systems that Clinicians Usually Use? 2.3 RQ3: How Long Do Clinicians Take to Assess a Patient’s Pain? 2.4 RQ4: What Factors Impact the Clinician’s Decision to Adjudge Pain Relievers? 2.5 RQ5: What are the Common Challenges When Asking Patients to Level Pain to Scores? 2.6 RQ 6: What are the Preferred Characteristics of the Application for Pain Management? 3 Results 3.1 Participants 3.2 What are the Pain Assessment Methods that Clinicians Acknowledge? 3.3 What are the Pain Scale Systems that Clinicians Usually Use? 3.4 How Long Do Clinicians Take to Assess a Patient’s Pain? 3.5 RQ4: What Factors Impact the Clinician’s Decision to Adjudge Pain Relievers? 3.6 What are the Common Challenges When Asking Patients to Level Pain to Scores? 3.7 What are the Preferred Characteristics of the Application for Pain Management? 4 Discussion and Conclusion References Predictive Analysis and Disease Recognition A Comprehensive Approach for Enhancing Motor Imagery EEG Classification in BCI's 1 Introduction 2 Materials 3 Methods 3.1 Module 1: Pre-processing 3.2 Module 2: Sliding Singular Spectrum Analysis for Meaningful Components Extraction 3.3 Module 3: Feature Extraction 3.4 Module 4: Classification 4 Results and Discussions 5 Conclusion References Image Recognition of Chicken Diseases Based on Improved Residual Networks 1 Introduction 2 Related Works 2.1 Deep Learning in Agricultural Applications 2.2 Attention Mechanism in Deep Learning Models 3 Experiments 3.1 Image Acquisition and Preprocessing 3.2 Model Construction 4 Results and Analysis 4.1 Model Training and Evaluation 4.2 Comparative Analysis of the Improved ResNet18 Model and Other Models 5 Conclusion References An Adaptive Feature Fusion Network for Alzheimer's Disease Prediction 1 Introduction 1.1 Motivation and Contribution 1.2 Organization of This Paper 2 Methdology 2.1 Overview of the Proposed Network 2.2 Multi-scale Multi-channel Group Convolution 2.3 Adaptive Attention Fusion Module 2.4 Regularised Loss Function 3 Experimental Results and Discussion 3.1 Databases Used in This Paper 3.2 Comparison with Related Works 3.3 Ablation Experiments 4 Conclusion References A Review on Predicting Drug Target Interactions Based on Machine Learning 1 Introduction 2 Traditional Machine Learning 2.1 Supervised Learning 2.2 Semi-supervised Learning 3 Deep Learning 3.1 Data Representation 3.2 Deep Learning Models 4 Datesets and Evaluation Metrics 4.1 Classification Metrics 4.2 Regression Metrics 5 Conclusion and Outlook References KNN-Based Patient Network and Ensemble Machine Learning for Disease Prediction 1 Introduction 2 Material and Methods 2.1 Study Setting and Population 2.2 Data Extraction and Inclusion 2.3 Patient Network 2.4 Feature Selection 2.5 Machine Learning Ensemble Methods 2.6 Model Evaluation 3 Results 3.1 Performance Evaluation 3.2 Feature Importance 4 Discussion 5 Conclusion References Medical Imaging and Dataset Exploration Optimizing the Size of Peritumoral Region for Assessing Non-Small Cell Lung Cancer Heterogeneity Using Radiomics 1 Introduction 2 Material and Methods 2.1 Patients 2.2 ROI Segmentation and Pre-processing 2.3 Feature Extraction 2.4 Selection of the Best Features 2.5 Model Building and Performance Evaluation 3 Results 4 Discussion 5 Conclusion References Multi-dimensional Complex Query Optimization for Disease-Specific Data Exploration Based on Data Lake 1 Introduction 2 Related Work 3 Architecture Design 3.1 Architecture Overview 4 Multi-dimensional Complex Query Optimization 4.1 The Optimization of Data Layout 4.2 The Construction of High-Dimensional Index 5 Experiment 5.1 Experimental Environment and Datesets 5.2 Performance Evaluation 5.3 Multi-dimensional Query of Unstructured Data 6 Conclusion and Future Work References Analyzing Health Risks Resulting from Unplanned Land Use Plan and Structure: A Case Study in Historic Old Dhaka 1 Introduction 2 Methodology 3 Result and Discussion 3.1 Health Determinants 3.2 Built Environments and Health 3.3 Community Resilience 4 Place-Based Approaches Focusing Health in Old Dhaka 5 Conclusion References Elderly Care and Knowledge Systems Home Self-medication Question-Answering System for the Elderly Based on Seq2Seq Model and Knowledge Graph Technology 1 Introduction 2 Models and Algorithms 2.1 BERT Models 2.2 Seq2Seq Model 2.3 Cosine Similarity Algorithm 3 Construction of Dataset and Knowledge Graph 3.1 Dataset 3.2 Construction of Knowledge Graph 4 Question Judgment and Answer Generation Method 4.1 Users and Problem Types 4.2 Overall Architecture Design of the Question and Answer System 4.3 Question Judgment and Answer Generation 4.4 Functional Testing and Application Verification 5 Conclusion References Constructing Multi-constrained Cognitive Diagnostic Tests: An Improved Ant Colony Optimization Algorithm 1 Introduction 2 Related Work 3 Method 3.1 Problem Definition 3.2 Algorithm Design 4 Simulation Experiments and Results 4.1 Experimental Design 4.2 Experiment Results 5 Conclusion and Discussion References Health Informatics and Patient Safety in Pharmacotherapy 1 Introduction 2 Pharmacotherapy and Patient Safety 3 Health Informatics and Drug Safety 3.1 Artificial Intelligence and Pharmacy Technology 3.2 Health Informatics in Patient Informing 3.3 Health Informatics as Doctors’ Aid 4 Discussion and Concluding Remarks References Author Index