Health Information Processing

.- Mental health and disease prediction.

.- Data Augmentation and Instruction Fine-Tuning for ADR Detection.

.- Deep Fusion Network with Feature Engineering for Discharge Risk Assessment.

.- Analysis of Risk Factors for Hemorrhagic Complications in Pediatric Acute Liver Failure.

.- PMFNet: Pseudo-modal fusion network for obstructive sleep apnea detection using single-lead ECG signals.

.- VisionLLM-based Multimodal Fusion Network for Glottic Carcinoma Early Detection.

.- RAG Combined with Instruction Tuning for Traditional Chinese Medicine Syndrome Differentiation Thinking.

.- Drug prediction and Knowledge map.

.- MBF-DTI: A fused multi-dimensional biochemical feature-based drug target prediction method based on heterogeneous graph attention networks.

.- Structure and pseudo-ligand based drug discovery for disease targets.

.- Multi-channel hypergraph convolutional network predicts circRNA-drug sensitivity associations.

.- Knowledge Infusion Framework with LLMs for Few-Shot Biomedical Relation Extraction.

.- A review of drug-target interaction prediction methods.

.- The Joint Entity-Relation Extraction Model Based on Span and Interactive Fusion Representation for Chinese Medical Texts with Complex Semantics.

.- Multi-task learning-based knowledge graph question answering for pediatric epilepsy.

.- Hypertension Medication Recommendation Based on Synergy and Selectivity of Heterogeneous Medical Entities.

.- Integrating TCM's "One Root of Medicine and Food" Principle into Dietary Recommendations with Retrieval-Augmented LLMs.

.- OAGLLM: A Retrieval-Augmented Large Language Model for Medication Instructions.