Health Information Processing: 11th China Health Information Processing Conference, CHIP 2025, Dongguan, China, November 2224, 2025, Proceedings [Pehme köide]

Biomedical data processing and model application.- Breast-Rehab: A
Postoperative Breast Cancer Rehabilitation Training Assessment System Based
on Human Action Recognition.- KD4FIRE: A Knowledge Distillation Approach for
Fine-grained Medical Relation Extraction in Low-Resource Settings.- Zero-Shot
Knowledge Distillation for Chinese Clinical Diagnosis: Enhancing Small LLMs
via Prompting and Loss-based Filtering.- CausalMPT: Causal Multimodal Prompt
Tuning for Healthcare MIE.- Enabling AI Scientists to Recognize Innovation:
A Domain-Agnostic Algorithm for Assessing Novelty.- Iterative Dynamic Routing
Framework for Medical Question Answering.- CDMFuse: A Multi-Modal Fusion
Framework for Skin Lesion Classification.- DMSNet: Dual-Channel Interactive
Attention Deep Classification Network for Mass Spectrometry Data.- Composite
Inflammatory Indices from Peripheral Blood Tests for Early Prediction of
EBV-Associated He-mophagocytic Lymphohistiocytosis in Children.-
Knowledge-Augmented Multimodal Learning for Breast Cancer Diagnosis.-
Retrieval-Augmented Relation Extraction for Medical Knowledge Graphs.- A
Verification-Enhanced Large Model Framework for Diabetes Knowledge Graph
Construction.- A Deep Learning-Based TCM Deficiency-Excess
Syndrome Differentiation Framework for Spectrum Analysis of PPG Pulse Wave.-
Cross-Type Biomedical Named Entity Recognition Method Based on Knowledge
Distillation.- Meta-Learning Enhance the Influenza Surveillance
across Spatio-temporal Heterogeneous Scenario by Recommending suitable
Statistical Models.- Construction of the Text Sentiment Analysis Model
for College Students' Mental Health.- A Review of Multimodal
Large-ModelDriven Intelligent Tongue, Pulse, and Facial Diagnosis in
Traditional Chinese Medicine.- Domain-Adapted Large Language Models for
Schema-Consistent Medical Record Generation from DoctorPatient Dialogues.-
ECU-BRE: NLI-based Biomedical Relation Extraction with EC Supervision and
Uncertainty-aware Inference.- Application of Computer Vision and Deep
Learning in Medical Imaging.- Magic-OR: A Multi-dimensional Geometric
 Alignment Framework for Precise Occlusal  Registration Using Intraoral
Scans.- Mental health and disease prediction.- Breast-Rehab: A Postoperative
Breast Cancer Rehabilitation.- A Multi-Modal Fusion Framework for Skin Lesion
Classification.- Composite Inflammatory Indices from Peripheral Blood Tests
for Early Prediction of EBV-Associated He-mophagocytic Lymphohistiocytosis in
Children.- A Verification-Enhanced Large Model Framework for Diabetes.-
Meta-Learning Enhance the Influenza Surveillance across Spatio-temporal
Heterogeneous Scenario by Recommending suitable Statistical Models.-
Construction of the Text Sentiment Analysis Model for College Students'
Mental Health.- A Review of Multimodal Large-ModelDriven Intelligent Tongue,
Pulse, and Facial Diagnosis in Traditional Chinese Medicine.- Drug prediction
and Knowledge map.- KD4FIRE: A Knowledge Distillation Approach for
Fine-grained Medical Relation Extraction in Low-Resource Settings.- Zero-Shot
Knowledge Distillation for Chinese Clinical Diagnosis: Enhancing Small LLMs
via Prompting and Loss-based Filtering.- Enabling AI Scientists to Recognize
Innovation: A Domain-Agnostic Algorithm for Assessing Novelty.-
Knowledge-Augmented Multimodal Learning for Breast Cancer Diagnosis.-
Retrieval-Augmented Relation Extraction for Medical Knowledge Graphs.-
Cross-Type Biomedical Named Entity Recognition Method Based on Knowledge
Distillation.- Shared task 1.- Overview of the Content Quality Control Task
for Admission Records in Inpatient Electronic Medical Records in CHIP 2025.-
Privacy-Preserving EMR QC with Rule Sharding and Multi-Agent Collaboration.-
Dual Enhancement with In-Context Learning and Chain-of- Thought: Large
Language Model-Driven Intelligent Connotation Quality Control of Medical
Records.- Semantic Quallty Control of EMR Admission Notes:Integrating Rule
Guidance, Prompt Optimization, and RAG.- Leveraging Phased Training and
Multi-Granularity Prompting with Large Language Models for Few-Shot Quality
Control of Electronic Medical Records.- M3-MedQC: A Method for Inherent
Quality Control of Electronic Medical Records Based on Large Language Models
and Multi-Granularity Evaluation.- Quality Control of Electronic Medical
Records Content Based on Q-LoRA FIne-tuning and a Hybrid Model-Rule
Approach.- Shared task 2.- Overview of CHIP 2025 Shared Task 2: Discharge
Medication Recommendation for Metabolic Diseases Based on Chinese Electronic
Health Records.- Towards Discharge Medication Recommendation via Multi-Scale
Model Training and Multi-Dimensional Feature Enhancement.- DP-EMR: A Chinese
Medication Recommendation Methodfor Metabolic Diseases based on Two-stage
Ensemble Learning.- LoRA-Fine-Tuned LLMs for Discharge Medication
Recommendation on Chinese EHRs.- Multi-Format Fine-Tuning and Optimized
Voting Ensemble for Robust Medication Recommendation in Chinese EMRs.- Shared
task 3.- Overview of Medical NLP Code Generation with FHIR for Clinical Trial
Screening.- A Large Language Model-based System or Automatic Medical NLP Code
Generation.- An Iterative Code Generation and Optimization Framework Based on
Dynamic Few-Shot Learning for Medical Information Processing.- Prompt-Driven
Program Synthesis for Clinical Trial Screening Criteria: From Natural
Language to Executable FHIR Code Generation.