An OMOP CDM-Based Relational Database of Clinical Research Eligibility Criteria.

ABSTRACT: Eligibility criteria are important for clinical research protocols or clinical practice guidelines for determining who qualify for studies and to whom clinical evidence is applicable, but the free-text format is not amenable for computational processing. In this paper, we described a practical method for transforming free-text clinical research eligibility criteria of Alzheimer's clinical trials into a structured relational database compliant with standards for medical terminologies and clinical data models. We utilized a hybrid natural language processing system and a concept normalization tool to extract medical terms in clinical research eligibility criteria and represent them using the OMOP Common Data Model (CDM) v5. We created a database schema design to store syntactic relations to

SUBMITTER: Si Y 

PROVIDER: S-EPMC5893219 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature