A rule-based approach to identify patient eligibility criteria for clinical trials from narrative longitudinal records.

ABSTRACT:

Objective

Achieving unbiased recognition of eligible patients for clinical trials from their narrative longitudinal clinical records can be time consuming. We describe and evaluate a knowledge-driven method that identifies whether a patient meets a selected set of 13 eligibility clinical trial criteria from their longitudinal clinical records, which was one of the tasks of the 2018 National NLP Clinical Challenges.

Materials and methods

The approach developed uses rules combined with manually crafted dictionaries that characterize the domain. The rules are based on common syntactical patterns observed in text indicating or describing explicitly a criterion. Certain criteria were classified as "met" only when they occurred within a designated time period prior to the most rec

SUBMITTER: Karystianis G 

PROVIDER: S-EPMC6993990 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature