Standardizing Extracted Data Using Automated Application of Controlled Vocabularies.

ABSTRACT:

Background

Extraction of toxicological end points from primary sources is a central component of systematic reviews and human health risk assessments. To ensure optimal use of these data, consistent language should be used for end point descriptions. However, primary source language describing treatment-related end points can vary greatly, resulting in large labor efforts to manually standardize extractions before data are fit for use.

Objectives

To minimize these labor efforts, we applied an augmented intelligence approach and developed automated tools to support standardization of extracted information via application of preexisting controlled vocabularies.

Methods

We created and applied a harmonized controlled vocabulary crosswalk, consisting of Unified Medical Lan

SUBMITTER: Foster C 

PROVIDER: S-EPMC10863721 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature