Analysis of Not Structurable Oncological Study Eligibility Criteria for Improved Patient-Trial Matching.

ABSTRACT:

Background

 Higher enrolment rates of cancer patients into clinical trials are necessary to increase cancer survival. As a prerequisite, an improved semiautomated matching of patient characteristics with clinical trial eligibility criteria is needed. This is based on the computer interpretability, i.e., structurability of eligibility criteria texts. To increase structurability, the common content, phrasing, and structuring problems of oncological eligibility criteria need to be better understood.

Objectives

 We aimed to identify oncological eligibility criteria that were not possible to be structured by our manual approach and categorize them by the underlying structuring problem. Our results shall contribute to improved criteria phrasing in the future as a prerequisite for

SUBMITTER: Dieter J 

PROVIDER: S-EPMC8412998 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature