Full Description
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.
Contents
.- 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.
