An approach for transgender population information extraction and summarization from clinical trial text.

ABSTRACT:

Background

Gender information frequently exists in the eligibility criteria of clinical trial text as essential information for participant population recruitment. Particularly, current eligibility criteria text contains the incompleteness and ambiguity issues in expressing transgender population, leading to difficulties or even failure of transgender population recruitment in clinical trial studies.

Methods

A new gender model is proposed for providing comprehensive transgender requirement specification. In addition, an automated approach is developed to extract and summarize gender requirements from unstructured text in accordance with the gender model. This approach consists of: 1) the feature extraction module, and 2) the feature summarization module. The first module ide

SUBMITTER: Chen B 

PROVIDER: S-EPMC6454593 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature