Health Information Processing : 9th China Health Information Processing Conference, CHIP 2023, Hangzhou, China, October 27–29, 2023, Proceedings / edited by Hua Xu, Qingcai Chen, Hongfei Lin, Fei Wu, Lei Liu, Buzhou Tang, Tianyong Hao, Zhengxing Huang.

Format:

Book

Author/Creator:

Xu, Hua, 1963- author.

Series:

Communications in Computer and Information Science, 1865-0937 ; 1993

Language:

English

Subjects (All):

Medical informatics.

Artificial intelligence.

Image processing--Digital techniques.

Image processing.

Computer vision.

Application software.

Information storage and retrieval systems.

Health Informatics.

Artificial Intelligence.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Computer and Information Systems Applications.

Information Storage and Retrieval.

Local Subjects:

Health Informatics.

Artificial Intelligence.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Computer and Information Systems Applications.

Information Storage and Retrieval.

Physical Description:

1 online resource (444 pages)

Edition:

1st ed. 2024.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2024.

Summary:

This book constitutes the refereed proceedings of the 9th China Health Information Processing Conference, CHIP 2023, held in Hangzhou, China, during October 27–29, 2023. The 27 full papers included in this book were carefully reviewed and selected from 66 submissions. They were organized in topical sections as follows: healthcare information extraction; healthcare natural language processing; healthcare data mining and applications.

Contents:

TIG-KIGNN: Time Interval Guided Knowledge Inductive Graph Neural Network for misinformation detection from Social Media

A Bert based relation extraction method with inter-entity constraints for Chinese EHRs

Automatic Generation of Discharge Summary of EMRs Based on Multi-granularity Information Fusion

A BART-based Study of Entity-Relationship Extraction for Electronic Medical Records of Cardiovascular Diseases

Multilevel Asynchronous Time Network for Medication Recommendation

Biomedical Event Detection of Based on Dependency Analysis and Graph Convolution Network

Multi-head Attention and Graph Convolutional Networks with Regularized Dropout for Biomedical Relation Extraction

Privacy-preserving Medical Dialogue Generation Based on Federated Learning

Cross-Lingual Name Entity Recognition from Clinical Text using Mixed Language Query

PEMRC: A Positive Enhanced Machine Reading Comprehension Method for Few-Shot Named Entity Recognition in Biomedical Domain

Research on Double-Graphs Knowledge-Enhanced Intelligent Diagnosis

FgKF: Fine-grained Knowledge Fusion for Radiology Report Generation

Medical Entity recognition with few-shot based on Chinese character radicals

Biomedical causal relation extraction incorporated with external knowledge

Research on structured lung cancer electronic medical records based on BART joint extraction

Biomedical Named Entity Recognition Based on Multi-task Learning

Biomedical Relation Extraction via Syntax-Enhanced Contrastive Networks

Entity Fusion Contrastive Inference Network for Biomedical Document Relation Extraction

An Unsupervised Clinical Acronym Disambiguation Method based on Pretrained Language Model

Combining Biaffine Model and Constraints Inference for Chinese Clinical Temporal Relation Extraction

Automatic Prediction of Multiple Associated Diseases Using A Dual-attention Neural Network Model

Chapter-level Stepwise Temporal Relation Extraction Based on Event Information for Chinese Clinical Medical Texts

Constructing a Multi-scale Medical Knowledge Graph from Electronic Medical Records

Double Graph Convolution Network with Knowledge Distillation for International Media Portrait Analysis of COVID-19

A Simple but Useful Multi-corpus Transferring Method for Biomedical Named Entity Recognition

Time Series Prediction Models for Assisting the Diagnosis and Treatment of Gouty Arthritis

Asymptomatic carriers are associated with shorter negative conversion time in children with Omicron infections.

Other Format:

Print version: Xu, Hua Health Information Processing

ISBN:

981-9998-64-6