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Extracting and Measuring Uncertain Biomedical Knowledge from Scientific Statements

Xin Guo

Xin Guo

  • Department of Cardiology and Institute of Vascular Medicine, Peking University Third HospitalBeijing, China
  • NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory PeptidesBeijing, China
  • Key Laboratory of Molecular Cardiovascular Science, Ministry of EducationBeijing, China
  • Beijing Key Laboratory of Cardiovascular Receptors ResearchBeijing, China
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Guo, Xin
, 
Yuming Chen

Yuming Chen

  • Department of Epidemiology and Biostatistics, School of Public Health, Peking UniversityBeijing, China
  • Medical Informatics Center, Peking UniversityBeijing, China
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Chen, Yuming
, 
Jian Du

Jian Du

  • Key Laboratory of Molecular Cardiovascular Science, Ministry of EducationBeijing, China
  • National Institute of Health Data Science, Peking UniversityBeijing, China
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Du, Jian
 and 
Erdan Dong

Erdan Dong

  • Department of Cardiology and Institute of Vascular Medicine, Peking University Third HospitalBeijing, China
  • NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory PeptidesBeijing, China
  • Key Laboratory of Molecular Cardiovascular Science, Ministry of EducationBeijing, China
  • Beijing Key Laboratory of Cardiovascular Receptors ResearchBeijing, China
  • Institute of Cardiovascular Sciences, Peking UniversityBeijing, China
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Dong, Erdan
  
Apr 25, 2022
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Article Category: Research Paper
Published Online: Apr 25, 2022
Page range: 6 - 30
Received: Oct 25, 2021
Accepted: Mar 05, 2022
DOI: https://doi.org/10.2478/jdis-2022-0008
Keywords
© 2022 Xin Guo et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, Information Technology, Project Management, Databases and Data Mining
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