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Exploring the Pan-Relationship Between Disease and Symptom Related to Coronary Heart Disease from Chinese Electronic Medical Records

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Book cover Intelligent Computing Methodologies (ICIC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11645))

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Abstract

Electronic Medical Records (EMRs) arises from the clinical treatment process, which reflects a patient’s physical condition, the disease, the treatment process, etc. It has an important significance for the recovery of the patient. As the amount of electronic medical records continues to increase, people are actively looking for ways to get the valid data contained in electronic medical records. More effective methods are urgently needed for processing EMRs. In this paper, 108 real EMRs of coronary heart disease were analyzed, through named entity recognition and entity relation extraction. Pan-relationship between entities was defined in the process. Experimental results showed the analysis of pan-relation between coronary heart disease and symptom is helpful for treatment of coronary heart disease.

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Acknowledgements

This work is supported by the Natural Science Foundation of the Higher Education Institutions of Jiangsu Province in China (No. 16KJD520003), National Natural Science Foundation of China (61502243, 61502247, 61572263), China Postdoctoral Science Foundation (2018M632349), Zhejiang Engineering Research Center of Intelligent Medicine under 2016E10011.

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Authors and Affiliations

  1. Faculty of Intelligent Science and Control Engineering, Jinling Institute of Technology, Nanjing, 211169, China

    Ronggen Yang

  2. Jiangsu Key Lab of Big Data Security and Intelligent Processing School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, 210046, China

    Yichen Wang, Bo Wang & Lejun Gong

  3. School of Geography and Bioinformatics, Nanjing University of Posts and Telecommunication, Nanjing, China

    Yichen Wang & Bo Wang

Authors
  1. Ronggen Yang
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  2. Yichen Wang
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  3. Bo Wang
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  4. Lejun Gong
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Corresponding author

Correspondence to Lejun Gong .

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Editors and Affiliations

  1. Tongji University, Shanghai, China

    De-Shuang Huang

  2. Nanchang Institute of Technology, Nanchang, China

    Zhi-Kai Huang

  3. Liverpool John Moores University, Liverpool, UK

    Abir Hussain

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Yang, R., Wang, Y., Wang, B., Gong, L. (2019). Exploring the Pan-Relationship Between Disease and Symptom Related to Coronary Heart Disease from Chinese Electronic Medical Records. In: Huang, DS., Huang, ZK., Hussain, A. (eds) Intelligent Computing Methodologies. ICIC 2019. Lecture Notes in Computer Science(), vol 11645. Springer, Cham. https://doi.org/10.1007/978-3-030-26766-7_22

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  • DOI: https://doi.org/10.1007/978-3-030-26766-7_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-26765-0

  • Online ISBN: 978-3-030-26766-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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