A data-driven approach to optimizing clinical study eligibility criteria.

ABSTRACT:

Objective

Feasible, safe, and inclusive eligibility criteria are crucial to successful clinical research recruitment. Existing expert-centered methods for eligibility criteria selection may not be representative of real-world populations. This paper presents a novel model called OPTEC (OPTimal Eligibility Criteria) based on the Multiple Attribute Decision Making method boosted by an efficient greedy algorithm.

Methods

It systematically identifies the optimal criteria combination for a given medical condition with the optimal tradeoff among feasibility, patient safety, and cohort diversity. The model offers flexibility in attribute configurations and generalizability to various clinical domains. The model was evaluated on two clinical domains (i.e., Alzheimer's disease and Ne

SUBMITTER: Fang Y 

PROVIDER: S-EPMC10262300 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature