東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Linked to FindBook

Google Book

Amazon

博客來

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 /
LDR:03342nmm a2200361 a 4500 001 2409665
003 DE-He213
005 20250410133639.0
006 m d
007 cr nn 008maaau
008 260204s2025 si s 0 eng d
020 $a 9789819637522 $q (electronic bk.)
020 $a 9789819637515 $q (paper)
024 7 $a 10.1007/978-981-96-3752-2 $2 doi
035 $a 978-981-96-3752-2
040 $a GP $c GP
041 0 $a eng
050 4 $a R858.A2
072 7 $a MBG $2 bicssc
072 7 $a UB $2 bicssc
072 7 $a MED117000 $2 bisacsh
072 7 $a UXT $2 thema
082 0 4 $a 610.285 $2 23
090 $a R858.A2 $b C541 2024
111 2 $a CHIP (Conference) $n (10th : $d 2024 : $c Fuzhou, China) $3 3782979
245 1 0 $a Health information processing $h [electronic resource] : $b 10th China Health Information Processing Conference, CHIP 2024, Fuzhou, China, November 15-17, 2024 : proceedings. $n Part II / $c edited by Yanchun Zhang ... [et al.].
246 3 $a CHIP 2024
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
300 $a xviii, 286 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Communications in computer and information science, $x 1865-0937 ; $v 2433
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.
520 $a 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.
650 0 $a Medical informatics $v Congresses. $3 590642
650 0 $a Information resources management $v Congresses. $3 738076
650 1 4 $a Health Informatics. $3 892928
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 890871
650 2 4 $a Computer and Information Systems Applications. $3 3538505
650 2 4 $a Information Storage and Retrieval. $3 761906
700 1 $a Zhang, Yanchun. $3 900530
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Communications in computer and information science ; $v 2433. $3 3782980
856 4 0 $u https://doi.org/10.1007/978-981-96-3752-2
950 $a Computer Science (SpringerNature-11645)