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Health Information Processing 8th China Conference, CHIP 2022, Hangzhou, China, October 21-23, 2022, Revised Selected Papers
Title
Health Information Processing [electronic resource] : 8th China Conference, CHIP 2022, Hangzhou, China, October 21-23, 2022, Revised Selected Papers / edited by Buzhou Tang, Qingcai Chen, Hongfei Lin, Fei Wu, Lei Liu, Tianyong Hao, Yanshan Wang, Haitian Wang.
ISBN
9789811998652
Edition
1st ed. 2023.
Publication
Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Physical Description
1 online resource (XIV, 212 p.) 59 illus., 43 illus. in color.
Local Notes
Access is available to the Yale community.
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Access restricted by licensing agreement.
Summary
This book constitutes refereed proceedings of the 8th China Conference on China Health Information Processing Conference 2022 held in Hangzhou, China from August 26-28, 2022. The 14 full papers presented in this volume were carefully reviewed and selected from a total of 35 submissions. The papers in the volume are organised according to the following topical headings: healthcare natural language processing;healthcare data mining and applications.
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Springer ENIN.
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Format
Books / Online
Language
English
Added to Catalog
March 02, 2023
Series
Communications in Computer and Information Science, 1772
Contents
Healthcare Natural Language Processing
Corpus Construction for Named-Entity and Entity Relations for Electronic Medical Records of Cardiovascular Disease
Hybrid Granularity-based medical event extraction in Chinese electronic medical records
Infusing Dependency Syntax Information into a Transformer Model for Document-Level Relation Extraction from Biomedical Literature
A Review of Biomedical Event Trigger Word Detection
BG-INT: An Entity Alignment Interaction Model Based on BERT and GCN
An Semantic Similarity Matching Method for Chinese Medical Question Text
A Biomedical Named Entity Recognition Framework with Multi-Granularity Prompt Tuning
Healthcare Data Mining and Applications
Automatic Extraction of Genomic Variants for Locating Precision Oncology Clinical Trials
Identification of sepsis subphenotypes based on bi-directional long short-term memory Auto-Encoder using real-time laboratory data collected from intensive care units
Machine Learning for Multimodal Electronic Health Records-based Research: Challenges and Perspectives
An End-to-End Knowledge Graph Based Question Answering Approach for COVID-19
Discovering Combination Patterns of Traditional Chinese Medicine for the Treatment of Gouty Arthritis with Renal Dysfunction
Automatic Classification of Nursing Adverse Events Using a Hybrid Neural Network Model
Node research on the involvement of China's carbon tax policy in the context of COVID-19.
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