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Discovering Commonly Shared Semantic Concepts of Eligibility Criteria for Learning Clinical Trial Design

  • Tianyong Hao
  • Xieling Chen
  • Guimin HuangEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9412)

Abstract

Discovering commonly shared semantic concepts of eligibility criteria can facilitate hospitals in recruiting appropriate target population and empower patients with more effective result ranking of concept-based search, as well as assist researchers in understanding clinical trial design. This study aims to identify commonly shared semantic concepts of eligibility criteria through the identification of eligibility criteria concepts for each disease. An automated approach for extracting semantic concepts from eligibility criteria texts is proposed. For each disease, commonly shared semantic concepts are determined for reviewing the commonly shared concepts of clinical trials. Our experiment dataset are 145,745 clinical trials associated with 5,488 different types of diseases on ClinicalTrials.gov. 5,508,491 semantic concepts are extracted with 459,936 being unique. We further analyze its application on assisting researchers in learning disease-specific clinical trial design.

Keywords

Semantic concepts Eligibility criteria Learning 

Notes

Acknowledgements

This work was supported by National Natural Science Foundation of China (grant No. 61403088).

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Guangdong University of Foreign StudiesGuangzhouChina
  2. 2.Guilin University of Electronic TechnologyGuilinChina

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