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Health Information Processing. Evaluation Track Papers

8th China Conference, CHIP 2022, Hangzhou, China, October 21–23, 2022, Revised Selected Papers

  • Conference proceedings
  • © 2023

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Editors:
  1. Buzhou Tang

    1. Harbin Institute of Technology, Shenzhen, China

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  2. Qingcai Chen

    1. Harbin Institute of Technology, Shenzhen, China

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  3. Hongfei Lin

    1. Dalian University of Technology, Dalian, China

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  4. Fei Wu

    1. Zhejiang University, Hangzhou, China

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  5. Lei Liu

    1. Fudan University, Shanghai, China

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  6. Tianyong Hao

    1. South China Normal University, Guangzhou, China

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  7. Yanshan Wang

    1. University of Pittsburgh, Pittsburgh, USA

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  8. Haitian Wang

    1. The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong

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  9. Jianbo Lei

    1. Medical Informatics Center of Peking University, Beijing, China

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  10. Zuofeng Li

    1. Takeda Co. Ltd., Shanghai, China

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  11. Hui Zong

    1. West China Hospital, Chengdu, China

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1773)

Included in the following conference series:

Conference proceedings info: CHIP 2022.

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Table of contents (20 papers)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. Text Mining for Gene-Disease Association Semantic

    1. Front Matter

      Pages 1-1
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    2. Text Mining Task for “Gene-Disease” Association Semantics in CHIP 2022

      • Sizhuo Ouyang, Xinzhi Yao, Yuxing Wang, Qianqian Peng, Zhihan He, Jingbo Xia
      Pages 3-13

    3. Hierarchical Global Pointer Network: An Implicit Relation Inference Method for Gene-Disease Knowledge Discovery

      • Yiwen Jiang, Wentao Xie
      Pages 14-28

    4. A Knowledge-Based Data Augmentation Framework for Few-Shot Biomedical Information Extraction

      • Xin Su, Chuang Cheng, Kuo Yang, Xuezhong Zhou
      Pages 29-40

    5. Biomedical Named Entity Recognition Under Low-Resource Situation

      • Jianfei Zhao, Xiangyu Ren, Shuo Zhao, Jinyi Li
      Pages 41-47

  3. Medical Causal Entity and Relation Extraction

    1. Front Matter

      Pages 49-49
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    2. CHIP2022 Shared Task Overview: Medical Causal Entity Relationship Extraction

      • Zihao Li, Mosha Chen, Kangping Yin, Yixuan Tong, Chuanqi Tan, Zhenzhen Lang et al.
      Pages 51-56

    3. Domain Robust Pipeline for Medical Causal Entity and Relation Extraction Task

      • Tao Liang, Shengjun Yuan, Pengfei Zhou, Hangcong Fu, Huizhe Wu
      Pages 57-65

    4. A Multi-span-Based Conditional Information Extraction Model

      • Jiajia Jiang, Xiaowei Mao, Ping Huang, Mingxing Huang, Xiaobo Zhou, Yao Hu et al.
      Pages 66-72

    5. Medical Causality Extraction: A Two-Stage Based Nested Relation Extraction Model

      • Yiwen Jiang, Jingyi Zhao
      Pages 73-85

  4. Medical Decision Tree Extraction from Unstructured Text

    1. Front Matter

      Pages 87-87
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    2. Extracting Decision Trees from Medical Texts: An Overview of the Text2DT Track in CHIP2022

      • Wei Zhu, Wenfeng Li, Xiaoling Wang, Wendi Ji, Yuanbin Wu, Jin Chen et al.
      Pages 89-102

    3. Medical Decision Tree Extraction: A Prompt Based Dual Contrastive Learning Method

      • Yiwen Jiang, Hao Yu, Xingyue Fu
      Pages 103-116

    4. An Automatic Construction Method of Diagnosis and Treatment Decision Tree Based on UIE and Logical Rules

      • Shiqi Zhen, Ruijie Wang
      Pages 117-126

    5. Research on Decision Tree Method of Medical Text Based on Information Extraction

      • Zihong Wu
      Pages 127-133

  5. OCR of Electronic Medical Document

    1. Front Matter

      Pages 135-135
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    2. Information Extraction of Medical Materials: An Overview of the Track of Medical Materials MedOCR

      • Lifeng Liu, Dejie Chang, Xiaolong Zhao, Longjie Guo, Mosha Chen, Buzhou Tang
      Pages 137-142

    3. TripleMIE: Multi-modal and Multi Architecture Information Extraction

      • Boqian Xia, Shihan Ma, Yadong Li, Wenkang Huang, Qiuhui Shi, Zuming Huang et al.
      Pages 143-153

    4. Multimodal End-to-End Visual Document Parsing

      • Yujiang Lu, Weifeng Qiu, Yinghua Hong, Jiayi Wang
      Pages 154-163
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Other volumes

  1. Health Information Processing

  2. Health Information Processing. Evaluation Track Papers

Keywords

About this book

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.

Editors and Affiliations

  • Harbin Institute of Technology, Shenzhen, China

    Buzhou Tang, Qingcai Chen

  • Dalian University of Technology, Dalian, China

    Hongfei Lin

  • Zhejiang University, Hangzhou, China

    Fei Wu

  • Fudan University, Shanghai, China

    Lei Liu

  • South China Normal University, Guangzhou, China

    Tianyong Hao

  • University of Pittsburgh, Pittsburgh, USA

    Yanshan Wang

  • The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong

    Haitian Wang

  • Medical Informatics Center of Peking University, Beijing, China

    Jianbo Lei

  • Takeda Co. Ltd., Shanghai, China

    Zuofeng Li

  • West China Hospital, Chengdu, China

    Hui Zong

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