Criteria2Query: a natural language interface to clinical databases for cohort definition.

ABSTRACT:

Objective

Cohort definition is a bottleneck for conducting clinical research and depends on subjective decisions by domain experts. Data-driven cohort definition is appealing but requires substantial knowledge of terminologies and clinical data models. Criteria2Query is a natural language interface that facilitates human-computer collaboration for cohort definition and execution using clinical databases.

Materials and methods

Criteria2Query uses a hybrid information extraction pipeline combining machine learning and rule-based methods to systematically parse eligibility criteria text, transforms it first into a structured criteria representation and next into sharable and executable clinical data queries represented as SQL queries conforming to the OMOP Common Data Model. Us

SUBMITTER: Yuan C 

PROVIDER: S-EPMC6402359 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature