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Health Information Processing. Evaluation Track Papers 8th China Conference, CHIP 2022, Hangzhou, China, October 21-23, 2022, Revised Selected Papers

Title
Health Information Processing. Evaluation Track Papers [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, Jianbo Lei, Zuofeng Li, Hui Zong.
ISBN
9789819948260
Edition
1st ed. 2023.
Publication
Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Physical Description
1 online resource (XV, 230 p.) 58 illus., 50 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This book constitutes the papers presented at the Evaluation Track of the 8th China Conference on Health Information Processing, CHIP 2022, held in Hangzhou, China during October 21-23, 2022. The 20 full papers included in this book were carefully reviewed and selected from 20 submissions. They were organized in topical sections as follows: text mining for gene-disease association semantic; medical causal entity and relation extraction; medical decision tree extraction from unstructured text; OCR of electronic medical document; clinical diagnostic coding.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
July 26, 2023
Series
Communications in Computer and Information Science, 1773
Communications in Computer and Information Science, 1773
Contents
Text Mining for Gene-Disease Association Semantic
Text Mining Task for "Gene-Disease" Association Semantics in CHIP 2022
Hierarchical Global Pointer Network: An Implicit Relation Inference Method for Gene-Disease Knowledge Discovery
A Knowledge-based Data Augmentation Framework for Few-Shot Biomedical Information Extraction
Biomedical Named Entity Recognition Under Low-Resource Situation
Medical Causal Entity and Relation Extraction
CHIP2022 Shared Task Overview: Medical Causal Entity Relationship Extraction
Domain Robust Pipeline for Medical Causal Entity and Relation Extraction Task
A Multi-span-based Conditional Information Extraction Model
Medical Causality Extraction: A Two-Stage Based Nested Relation Extraction Model
Medical Decision Tree Extraction from Unstructured Text
Extracting Decision Trees from Medical Texts: an Overview of the Text2DT Track in CHIP2022
Medical Decision Tree Extraction: A Prompt Based Dual Contrastive Learning Method
An automatic construction method of diagnosis and treatment decision tree based on UIE and logical rules
Research on Decision Tree Method of Medical Text Based on Information Extraction
OCR of Electronic Medical Document
Information extraction of Medical Materials: an Overview of the track of Medical Material MedOCR
TripleMIE: Multi-Modal and Multi architecture Information Extraction
Multimodal end-to-end visual document parsing
Improving Medical OCR Information Extraction with Integrated Bert and LayoutXLM Models
Clinical Diagnostic Coding
Overview of CHIP 2022 Shared Task 5: Clinical Diagnostic Coding
Clinical Coding Based on Knowledge Enhanced Language Model and Attention Pooling
Rule-enhanced Disease Coding Method based on Roberta
Diagnosis Coding Rule-Matching Based on Characteristic Words and Dictionaries.
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