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An interactive retrieval system for clinical trial studies with context-dependent protocol elements.

Junseok Park1,2, Seongkuk Park3, Kwangmin Kim1,2

  • 1Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.

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Summary
This summary is machine-generated.

Designing clinical trial protocols is improved with a new database system. This system offers context-dependent searches and interactive element selection, outperforming existing methods in predicting phenotypic features.

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Area of Science:

  • Clinical trial methodology
  • Biomedical informatics
  • Data science

Background:

  • Effective clinical trial protocols are crucial for successful research outcomes.
  • Current database systems rely on basic keyword searches, limiting protocol element extraction.
  • There is a need for advanced systems to support comprehensive clinical trial protocol design.

Purpose of the Study:

  • To introduce an advanced database system for clinical trial protocol design.
  • To enhance protocol retrieval using context-dependent and interactive element selection.
  • To improve the prediction of phenotypic features compared to existing databases.

Main Methods:

  • Constructed a database from 184,634 clinical trials and 13,210 protocol structures.
  • Developed a web application, the clinical trial protocol database system (CLIPS).
  • Implemented an interactive search function with context-dependent element selection using a tree structure.

Main Results:

  • The CLIPS system enables interactive searching and filtering of protocols based on semantic information.
  • The system provides optional next element selection based on previous choices, facilitating complex searches.
  • Validation demonstrated superior performance in predicting phenotypic features compared to existing database search methods.

Conclusions:

  • The developed database system significantly enhances clinical trial protocol design.
  • CLIPS offers a more efficient and effective approach to protocol element retrieval and analysis.
  • This system represents a significant advancement in supporting clinical trial research through improved data accessibility and search functionality.