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Health information processing10th China Health Information Processing Conference, CHIP 2024, Fuzhou, China, November 15-17, 2024 : proceedings.Part I /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Health information processingedited by Yanchun Zhang ... [et al.].
其他題名:	10th China Health Information Processing Conference, CHIP 2024, Fuzhou, China, November 15-17, 2024 : proceedings.
其他題名:	CHIP 2024
其他作者:	Zhang, Yanchun.
團體作者:
出版者:	Singapore :Springer Nature Singapore :2025.
面頁冊數:	xviii, 318 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Medical informaticsCongresses.
電子資源:	https://doi.org/10.1007/978-981-96-3755-3
ISBN:	9789819637553$q(electronic bk.)

Health information processing10th China Health Information Processing Conference, CHIP 2024, Fuzhou, China, November 15-17, 2024 : proceedings.Part I /
Health information processing10th China Health Information Processing Conference, CHIP 2024, Fuzhou, China, November 15-17, 2024 : proceedings.Part I /[electronic resource] :CHIP 2024edited by Yanchun Zhang ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xviii, 318 p. :ill. (chiefly color), digital ;24 cm. - Communications in computer and information science,24321865-0937 ;. - Communications in computer and information science ;229..

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.

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.

ISBN: 9789819637553$q(electronic bk.)

Standard No.: 10.1007/978-981-96-3755-3doiSubjects--Topical Terms:

384533
Medical informatics
--Congresses.

LC Class. No.: R858.A2

Dewey Class. No.: 610.285

Health information processing10th China Health Information Processing Conference, CHIP 2024, Fuzhou, China, November 15-17, 2024 : proceedings.Part I /
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505 0 $a 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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