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Health Information Processing : 10th China Health Information Processing Conference, CHIP 2024, Fuzhou, China, November 15-17, 2024, Proceedings, Part I
Health Information Processing : 10th China Health Information Processing Conference, CHIP 2024, Fuzhou, China, November 15-17, 2024, Proceedings, Part I
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ISBN No.: 9789819637546
Pages: xviii, 318
Year: 202504
Format: Trade Paper
Price: $ 120.33
Dispatch delay: Dispatched between 7 to 15 days
Status: Available

- 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.


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