Combining human and machine intelligence for clinical trial eligibility querying.

ABSTRACT:

Objective

To combine machine efficiency and human intelligence for converting complex clinical trial eligibility criteria text into cohort queries.

Materials and methods

Criteria2Query (C2Q) 2.0 was developed to enable real-time user intervention for criteria selection and simplification, parsing error correction, and concept mapping. The accuracy, precision, recall, and F1 score of enhanced modules for negation scope detection, temporal and value normalization were evaluated using a previously curated gold standard, the annotated eligibility criteria of 1010 COVID-19 clinical trials. The usability and usefulness were evaluated by 10 research coordinators in a task-oriented usability evaluation using 5 Alzheimer's disease trials. Data were collected by user interaction loggi

SUBMITTER: Fang Y 

PROVIDER: S-EPMC9196697 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature