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Health Information Processing: 10th China Health Information Processing Conference, CHIP 2024, Fuzhou, China, November 1517, 2024, Proceedings, Part I [Pehme köide]

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  • Formaat: Paperback / softback, 318 pages, kõrgus x laius: 235x155 mm, 79 Illustrations, color; 18 Illustrations, black and white; XVIII, 318 p. 97 illus., 79 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2432
  • Ilmumisaeg: 11-Apr-2025
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 9819637546
  • ISBN-13: 9789819637546
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Health Information Processing: 10th China Health Information Processing Conference, CHIP 2024, Fuzhou, China, November 1517, 2024, Proceedings, Part ISuurem pilt
  • Formaat: Paperback / softback, 318 pages, kõrgus x laius: 235x155 mm, 79 Illustrations, color; 18 Illustrations, black and white; XVIII, 318 p. 97 illus., 79 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2432
  • Ilmumisaeg: 11-Apr-2025
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 9819637546
  • ISBN-13: 9789819637546
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9789819637546.html
Märksõnad:
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 1517, 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.