Health Information Science
12th International Conference, HIS 2023, Melbourne, VIC, Australia, October 23¿24, 2023, Proceedings
Herausgegeben:Li, Yan; Huang, Zhisheng; Sharma, Manik; Chen, Lu; Zhou, Rui
Health Information Science
12th International Conference, HIS 2023, Melbourne, VIC, Australia, October 23¿24, 2023, Proceedings
Herausgegeben:Li, Yan; Huang, Zhisheng; Sharma, Manik; Chen, Lu; Zhou, Rui
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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. …mehr
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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.
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.
Produktdetails
- Produktdetails
- Lecture Notes in Computer Science 14305
- Verlag: Springer / Springer Nature Singapore / Springer, Berlin
- Artikelnr. des Verlages: 978-981-99-7107-7
- 1st ed. 2023
- Seitenzahl: 392
- Erscheinungstermin: 11. Oktober 2023
- Englisch
- Abmessung: 235mm x 155mm x 22mm
- Gewicht: 593g
- ISBN-13: 9789819971077
- ISBN-10: 9819971071
- Artikelnr.: 68848687
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
- Lecture Notes in Computer Science 14305
- Verlag: Springer / Springer Nature Singapore / Springer, Berlin
- Artikelnr. des Verlages: 978-981-99-7107-7
- 1st ed. 2023
- Seitenzahl: 392
- Erscheinungstermin: 11. Oktober 2023
- Englisch
- Abmessung: 235mm x 155mm x 22mm
- Gewicht: 593g
- ISBN-13: 9789819971077
- ISBN-10: 9819971071
- Artikelnr.: 68848687
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
Depression & Mental Health.- Detection of depression and its likelihood in children and adolescents: Evidence from a 15-years study.- A combined attribute extraction method for detecting Postpartum Depression using Social Media.- Network Analysis of Relationships and Change Patterns in Depression and Multiple Chronic Diseases based on the China Health and Retirement Longitudinal Study.- Exploring Etiology of Nonsuicidal Self-Injury by Using Knowledge Graph Approach.- A Question and Answering System for Mental Health of the ElderlyBased on BiLSTM-CRF Model and Knowledge Graph.- Data Security, Privacy & Healthcare Systems.- Australia's Notifiable Data Breach scheme: An analysis of risk management findings for healthcare.- Analysis and Protection of Public Medical Dataset: from Privacy Perspective.- Enhancing Health Information Systems Security: An Ontology Model Approach.- Developing a Risk Management Framework for E-health Care Delivery.- Neurological & Cognitive Disease Studies.- Knowledge-Based Nonlinear to Linear Dataset Transformation for Chronic Illness Classification.- A Robust Approach for Parkinson Disease Detection from Voice Signal.- Analysis on Association between Vascular Risk Factors and Lifestyle Factors with the risk of Dementia/Alzheimer's Disease using Medical Ontologies.- COVID-19 Impact Studies.- Unveiling the Pandemic's Impact: A Dataset for Probing COVID-19's Effects on E-Learning Activities and Academic Performance.- Understanding the influence of multiple factors on the spread of Omicron variant strains via the Multivariate Regression Method.- Analyzing the Impact of COVID-19 on Education: A Comparative Study Based on TOEFL Test Results.- Advanced Medical Data & AI Techniques.- BiblioEngine: An AI-empowered Platform for Disease Genetic Knowledge Mining.- Enhancing Clustering Performance in Sepsis Time Series Data Using Gravity Field.- Multi-modal Medical Data Exploration Based on Data Lake.- Multi-model Transfer Learning and Genotypic Analysis for Seizure Type Classification.- Requirement survey in Thai clinician for designing digital solution of pain assessment.- Predictive Analysis & Disease Recognition.- A Comprehensive Approach for Enhancing Motor Imagery EEG Classification in BCI's.- Image Recognition of Chicken Diseases Based on Improved Residual Networks.- An Adaptive Feature Fusion Network for Alzheimer's Disease Prediction.- A Review on Predicting Drug Target Interactions Based on Machine Learning.- KNN-Based Patient Network and Ensemble Machine Learning for Disease Prediction.- Medical Imaging & Dataset Exploration.- Optimizing the Size of Peritumoral Region for Assessing Non-Small Cell Lung Cancer Heterogeneity Using Radiomics.- Multi-dimensional Complex Query Optimization for Disease-specific Data Exploration Based on Data Lake.- Analyzing Health Risks Resulting from Unplanned Land Use Plan and Structure: A Case Study in Historic Old Dhaka.- Elderly Care & Knowledge Systems.- Home Self-medication Question-Answering System for the Elderly Based on Seq2Seq Model and Knowledge Graph Technology.- Constructing Multi-Constrained Cognitive Diagnostic Test: An Improved Ant Colony Optimization Algorithm.- Enhancing Patient Safety in Pharmacotherapy.
Depression & Mental Health.- Detection of depression and its likelihood in children and adolescents: Evidence from a 15-years study.- A combined attribute extraction method for detecting Postpartum Depression using Social Media.- Network Analysis of Relationships and Change Patterns in Depression and Multiple Chronic Diseases based on the China Health and Retirement Longitudinal Study.- Exploring Etiology of Nonsuicidal Self-Injury by Using Knowledge Graph Approach.- A Question and Answering System for Mental Health of the ElderlyBased on BiLSTM-CRF Model and Knowledge Graph.- Data Security, Privacy & Healthcare Systems.- Australia's Notifiable Data Breach scheme: An analysis of risk management findings for healthcare.- Analysis and Protection of Public Medical Dataset: from Privacy Perspective.- Enhancing Health Information Systems Security: An Ontology Model Approach.- Developing a Risk Management Framework for E-health Care Delivery.- Neurological & Cognitive Disease Studies.- Knowledge-Based Nonlinear to Linear Dataset Transformation for Chronic Illness Classification.- A Robust Approach for Parkinson Disease Detection from Voice Signal.- Analysis on Association between Vascular Risk Factors and Lifestyle Factors with the risk of Dementia/Alzheimer's Disease using Medical Ontologies.- COVID-19 Impact Studies.- Unveiling the Pandemic's Impact: A Dataset for Probing COVID-19's Effects on E-Learning Activities and Academic Performance.- Understanding the influence of multiple factors on the spread of Omicron variant strains via the Multivariate Regression Method.- Analyzing the Impact of COVID-19 on Education: A Comparative Study Based on TOEFL Test Results.- Advanced Medical Data & AI Techniques.- BiblioEngine: An AI-empowered Platform for Disease Genetic Knowledge Mining.- Enhancing Clustering Performance in Sepsis Time Series Data Using Gravity Field.- Multi-modal Medical Data Exploration Based on Data Lake.- Multi-model Transfer Learning and Genotypic Analysis for Seizure Type Classification.- Requirement survey in Thai clinician for designing digital solution of pain assessment.- Predictive Analysis & Disease Recognition.- A Comprehensive Approach for Enhancing Motor Imagery EEG Classification in BCI's.- Image Recognition of Chicken Diseases Based on Improved Residual Networks.- An Adaptive Feature Fusion Network for Alzheimer's Disease Prediction.- A Review on Predicting Drug Target Interactions Based on Machine Learning.- KNN-Based Patient Network and Ensemble Machine Learning for Disease Prediction.- Medical Imaging & Dataset Exploration.- Optimizing the Size of Peritumoral Region for Assessing Non-Small Cell Lung Cancer Heterogeneity Using Radiomics.- Multi-dimensional Complex Query Optimization for Disease-specific Data Exploration Based on Data Lake.- Analyzing Health Risks Resulting from Unplanned Land Use Plan and Structure: A Case Study in Historic Old Dhaka.- Elderly Care & Knowledge Systems.- Home Self-medication Question-Answering System for the Elderly Based on Seq2Seq Model and Knowledge Graph Technology.- Constructing Multi-Constrained Cognitive Diagnostic Test: An Improved Ant Colony Optimization Algorithm.- Enhancing Patient Safety in Pharmacotherapy.