Health Information Processing
Springer Nature Switzerland AG (Verlag)
978-981-96-3754-6 (ISBN)
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This two-volume set CCIS 2432-2433 constitutes the refereed proceedings of the 10th China Health Information Processing Conference, CHIP 2024, held in Fuzhou, China, during November 15-17, 2024.
The 32 full papers included in this set were carefully reviewed and selected from 65 submissions.
They are organized in topical sections as follows: biomedical data processing and model application; mental health and disease prediction; and drug prediction and knowledge map.
.- Biomedical data processing and model application.
.- VSDQ: A Comprehensive Vaccine Stance Detection Quadruple Dataset for Analyzing Vaccine Discussions on Social Media.
.- Predicting Patients' Physician Selection Behavior Based on Multimodal Data: A Comparison of Feature Engineering and End-to-End Approaches.
.- Automatic Pancreatitis CT Image Segmentation Model Based on UNet and SE Module.
.- Utilizing Retrieval-Augmented Generation for Open-Domain Question Answering in Healthcare.
.- Self-supervised learning driven doctor recommendation model: combining communication ability and professional competence.
.- Prompt-Aware Large Language Model for Sleep Stages Classification.
.- Research on Classification Methods for Public Health Question Based on Model Ensemble and Voting Mechanisms.
.- A 3D MRI brain image segmentation and reconstruction system based on Augmented Reality Technology.
.- Analysis of Hospitalization Data before, during and after the COVID19 Epidemic using Short Time Series Clustering.
.- Look, Imitate and Refine: A Hierarchical Multimodel Retrieval Augmented Vision-Language Model for Radiology Report Generation.
.- CTGLM: A Vision-Language Model for Automated Chinese Chest CT Report Generation.
.- Pattern matching of positive and negative DNA sequences with general gaps and One-off constraints.
.- Mental health and disease prediction.
.- Survey of Suicidal Tendency Recognition Based on Social Media.
.- Global trends in the application of extended reality technology to autism research: Based on the Web of Bibliometric Analysis of Science (1999.1.1-2023.3.4).
.- A Review of Machine Learning-based Assessment of Depression.
.- Research Progress on Psychological Health Assessment of College Students Based on Eye Movement, EEG, and Facial Expression Recognition.
| Erscheinungsdatum | 14.05.2025 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science |
| Zusatzinfo | 79 Illustrations, color; 18 Illustrations, black and white |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Informatik ► Weitere Themen ► Bioinformatik | |
| Medizin / Pharmazie | |
| Technik ► Maschinenbau | |
| Technik ► Medizintechnik | |
| Schlagworte | Applications of multimodal learning in medical areas • Case Reports • Clinical Research Data • Computational health information analysis • Cross modality learning • Deep learning for health and medicine • Knowledge sources for medical knowledge engineering • Large Model • Machine learning algorithms for health information processing • Medical Basic Model • Multi-modality medical data processing • Next-generation health information processing technologies • patient self-reported data • pre-trained model • Social Media • Using novel data sources • Using novel data sources for clinical decision making |
| ISBN-10 | 981-96-3754-6 / 9819637546 |
| ISBN-13 | 978-981-96-3754-6 / 9789819637546 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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