Health Information Processing. Evaluation Track Papers (eBook, PDF)

8th China Conference, CHIP 2022, Hangzhou, China, October 21-23, 2022, Revised Selected Papers
Redaktion: Tang, Buzhou; Lei, Jianbo; Wang, Haitian; Wang, Yanshan; Hao, Tianyong; Liu, Lei; Wu, Fei; Lin, Hongfei; Chen, Qingcai; Zong, Hui; Li, Zuofeng

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 230
• Erscheinungstermin: 21. Juli 2023
• Englisch
• ISBN-13: 9789819948260
• Artikelnr.: 68461614

Inhaltsangabe

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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