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Health information processing = 10th China Health Information Processing Conference, CHIP 2024, Fuzhou, China, November 15-17, 2024 : proceedings.. Part II /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Health information processing/ edited by Yanchun Zhang ... [et al.].
Reminder of title:	10th China Health Information Processing Conference, CHIP 2024, Fuzhou, China, November 15-17, 2024 : proceedings.
remainder title:	CHIP 2024
other author:	Zhang, Yanchun.
corporate name:	CHIP (Conference)
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xviii, 286 p. :ill. (chiefly color), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Medical informatics - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-96-3752-2
ISBN:	9789819637522

Health information processing = 10th China Health Information Processing Conference, CHIP 2024, Fuzhou, China, November 15-17, 2024 : proceedings.. Part II /
Health information processing10th China Health Information Processing Conference, CHIP 2024, Fuzhou, China, November 15-17, 2024 : proceedings.Part II /[electronic resource] :CHIP 2024edited by Yanchun Zhang ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xviii, 286 p. :ill. (chiefly color), digital ;24 cm. - Communications in computer and information science,24331865-0937 ;. - Communications in computer and information science ;2433..

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.

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: 9789819637522

Standard No.: 10.1007/978-981-96-3752-2doiSubjects--Topical Terms:

590642
Medical informatics
--Congresses.

LC Class. No.: R858.A2

Dewey Class. No.: 610.285

Health information processing = 10th China Health Information Processing Conference, CHIP 2024, Fuzhou, China, November 15-17, 2024 : proceedings.. Part II /
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505 0 $a 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.
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