Health Information Science 13th International Conference, HIS 2024, Hong Kong, China, December 8–10, 2024, Proceedings /
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...
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| Autor Corporativo: | |
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| Outros autores: | , , , |
| Formato: | Electrónico eBook |
| Idioma: | inglés |
| Publicado: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2025.
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| Edición: | 1st ed. 2025. |
| Series: | Lecture Notes in Computer Science,
15336 |
| Subjects: | |
| Acceso en liña: | https://doi.org/10.1007/978-981-96-5597-7 |
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Table of Contents:
- 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.