Health Information Processing
10th China Health Information Processing Conference, CHIP 2024, Fuzhou, China, November 15-17, 2024, Proceedings, Part I
Herausgegeben:Zhang, Yanchun; Chen, Qingcai; Lin, Hongfei; Liu, Lei; Liao, Xiangwen; Tang, Buzhou; Hao, Tianyong; Huang, Zhengxing
Health Information Processing
10th China Health Information Processing Conference, CHIP 2024, Fuzhou, China, November 15-17, 2024, Proceedings, Part I
Herausgegeben:Zhang, Yanchun; Chen, Qingcai; Lin, Hongfei; Liu, Lei; Liao, Xiangwen; Tang, Buzhou; Hao, Tianyong; Huang, Zhengxing
- Broschiertes Buch
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
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.
Andere Kunden interessierten sich auch für
- Health Information Processing54,99 €
- Health Information Processing. Evaluation Track Papers54,99 €
- Health Information Processing67,99 €
- Health Information Processing56,99 €
- Health Information Processing. Evaluation Track Papers56,99 €
- Health Information Processing. Evaluation Track Papers60,99 €
- Health Information Science38,99 €
-
-
-
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.
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.
Produktdetails
- Produktdetails
- Communications in Computer and Information Science 2432
- Verlag: Springer / Springer Nature Singapore / Springer, Berlin
- Artikelnr. des Verlages: 978-981-96-3754-6
- Seitenzahl: 336
- Erscheinungstermin: 11. April 2025
- Englisch
- Abmessung: 235mm x 155mm x 19mm
- Gewicht: 511g
- ISBN-13: 9789819637546
- ISBN-10: 9819637546
- Artikelnr.: 72894912
- Herstellerkennzeichnung
- Springer-Verlag GmbH
- Tiergartenstr. 17
- 69121 Heidelberg
- ProductSafety@springernature.com
- Communications in Computer and Information Science 2432
- Verlag: Springer / Springer Nature Singapore / Springer, Berlin
- Artikelnr. des Verlages: 978-981-96-3754-6
- Seitenzahl: 336
- Erscheinungstermin: 11. April 2025
- Englisch
- Abmessung: 235mm x 155mm x 19mm
- Gewicht: 511g
- ISBN-13: 9789819637546
- ISBN-10: 9819637546
- Artikelnr.: 72894912
- Herstellerkennzeichnung
- Springer-Verlag GmbH
- Tiergartenstr. 17
- 69121 Heidelberg
- ProductSafety@springernature.com
.- 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.
.- 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.
.- 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.
.- 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.