紀錄類型: |
書目-電子資源
: Monograph/item
|
正題名/作者: |
Health information processing/ edited by Hua Xu ... [et al.]. |
其他題名: |
9th China Health Information Processing Conference, CHIP 2023, Hangzhou, China, October 27-29, 2023 : proceedings / |
其他題名: |
CHIP 2023 |
其他作者: |
Xu, Hua. |
團體作者: |
CHIP (Conference) |
出版者: |
Singapore :Springer Nature Singapore : : 2024., |
面頁冊數: |
xv, 432 p. :ill., digital ;24 cm. |
內容註: |
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. |
Contained By: |
Springer Nature eBook |
標題: |
Medical informatics - Congresses. - |
電子資源: |
https://doi.org/10.1007/978-981-99-9864-7 |
ISBN: |
9789819998647 |