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Description

Abstract: This project aims to apply Named Entity Recognition and pattern analysis to investigate radiation induced adverse events in RT studies over six years from 2010 to 2015. We are addressing the three specific questions: 1) scalable methods and proper features used to identify radiation induced adverse events in RT studies; 2) patterns of radiation induced adverse events mentioned in RT studies; and 3) relations between radiation induced adverse events and diseases/cancer investigated in RT studies.

Learning Objective 1: Identify and understand the radiation induced adverse events in radiation therapy clinical studies.

Learning Objective 2 (Optional): Investigate Named Entity Recognition methods and features to analyze radiation induced adverse events from published clinical studies at large scale.

Authors:

Yi Zhen (Presenter)
University of North Carolina at Charlotte

Saugat Karki, University of North Carolina at Charlotte
Jackie Wu, Duke University Medical Center
Yaorong Ge, University of North Carolina at Charlotte

Presentation Materials:

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