Health Information Science : 13th International Conference, HIS 2024, Hong Kong, China, December 8–10, 2024, Proceedings / / edited by Siuly Siuly, Chunxiao Xing, Xiaofan Li, Rui Zhou

• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
• Edizione: 1st ed. 2025.
• Descrizione fisica: 1 online resource (XIII, 340 p. 95 illus., 75 illus. in color.)
• Disciplina: 610.285
• Soggetto topico: Medical informatics; Artificial intelligence; Computer engineering; Computer networks; Application software; Image processing - Digital techniques; Computer vision; Data structures (Computer science); Information theory; Health Informatics; Artificial Intelligence; Computer Engineering and Networks; Computer and Information Systems Applications; Computer Imaging, Vision, Pattern Recognition and Graphics; Data Structures and Information Theory
• Persona (resp. second.): SiulySiuly; XingChunxiao; LiXiaofan; ZhouRui
• Nota di contenuto: Artificial 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.
• Sommario/riassunto: This 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. .
• Titolo autorizzato: Health Information Science
• ISBN: 981-9655-97-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9911003590703321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 15336