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OverviewThis book LNCS 15336 constitutes the refereed proceedings of the 13th International Conference on Health Information Science, HIS 2024, held in Hong Kong, China, during December 8-10, 2024. The 18 full papers and 11 short papers were carefully reviewed and selected from 59 submissions. The scope of the conference includes: (1) medical/health/biomedicine information resources, such as patient medical records, devices and equipments, software and tools to capture, store, retrieve, process, analyze, and optimize the use of information in the health domain; (2) data management, data mining, and knowledge discovery, all of which play a key role in decision-making, management of public health, examination of standards, privacy and security issues; (3) computer visualization and artificial intelligence for computer-aided diagnosis; (4) development of new architectures and applications for health information systems. Full Product DetailsAuthor: Siuly Siuly , Chunxiao Xing , Xiaofan Li , Rui ZhouPublisher: Springer Nature Switzerland AG Imprint: Springer Nature Switzerland AG Volume: 15336 ISBN: 9789819655960ISBN 10: 981965596 Pages: 340 Publication Date: 21 June 2025 Audience: Professional and scholarly , College/higher education , Professional & Vocational , Postgraduate, Research & Scholarly Format: Paperback Publisher's Status: Forthcoming Availability: Not yet available ![]() This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release. Table of ContentsArtificial Intelligence in Enhancing Electronic Health Record Systems: A Comprehensive Survey.- Complex Query Optimization in Sepsis Data Using Learned Index with Data Transformation.- A Novel Feature Selection Framework Based on Large Language Models.- LTGAN: Multi-label Time-series GAN with Constraints for Electronic Health Records Generation.- Multi-condition Join Query Optimization For Disease-specific Data Exploration Based On Data Lake.- Multi-modal Medical Data Management Platform Based on Data Lake.- Comparative Study of Machine Learning Algorithms for IoT Cyber Threat Detection in Healthcare Information Systems.- Myocardial Band Transformer Network for Detecting Myocardial Ischemia in 2D Echocardiography.- Deep Learning-Enabled Electronic Health Records for Accurate Diagnosis of Cardiovascular Diseases: A Retrospective, Prospective, Diagnostic Study.- V-GnNet: Voxel and Graph Node Based Network for Continuously Consistent Artery and Vein Classification in Non-contrast CT Images.- Multilabel Classification for Cancer Subtypes.- TG.Net:A deep learning model combining attention mechanism for effective prediction of multi stages of Chronic Kidney Disease.- A Deep Transfer Learning Approach for Predicting Diabetes Complications Using Genomic Data.- Using machine learning to predict the risk severity of late effects of a childhood rhabdomyosarcoma survivors.- Predicting C-section Outcomes among Bangladeshi Women: A Comparative Study of Machine Learning Techniques.- Exploring Relations between Depression and Cognitive Impairment.- Investigating Roles of Immune Functions in Depression by Using Knowledge Graph Approach.- EEG Sleep Classification Based on Fourier-Bessel Technique Coupled with LS-SVM.- An AI driven framework for EEG based-BCI technology.- Perceptions of Academic Performance and Mental Health Among Pharmacy Students Across Different Learning Modalities.- Epilepsy Detection from Weighted EEG Graph (WEG) using Novel Feature- Normalized Weighted Forgotten Topological Index (NWFT-index).- Extended Knowledge Graphs of Depression.- IBDR-Net: A Computerized Framework for Irregular Brain Signal Data Recognition.- Physical Human Activity Recognition Based on Spectral Graph Wavelet Transforms Integrated with Machine Learning Model.- Robust Approach for Human Activity Recognition Using Decomposition Technique Based Machine Learning Models.- The Impact of COVID-19 and the Ukrainian war on the share market index for the Australian Financial sector.- The Impact of COVID-19 on Global GMAT Test-Taking Patterns: A Statistical Analysis.- A Geriatric Disease Medical Consultation System Based on Multi-Agent Architecture and Knowledge Graph.- Impact of social media on heart health-related behaviours in health promotion interventions: sentiment analysis of tweets linked to the American Heart Month campaigns.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |