Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE.

ABSTRACT:

Background

Cluster randomized trials (CRTs) are becoming an increasingly important design. However, authors of CRTs do not always adhere to requirements to explicitly identify the design as cluster randomized in titles and abstracts, making retrieval from bibliographic databases difficult. Machine learning algorithms may improve their identification and retrieval. Therefore, we aimed to develop machine learning algorithms that accurately determine whether a bibliographic citation is a CRT report.

Methods

We trained, internally validated, and externally validated two convolutional neural networks and one support vector machine (SVM) algorithm to predict whether a citation is a CRT report or not. We exclusively used the information in an article citation, including the title,

SUBMITTER: Al-Jaishi AA 

PROVIDER: S-EPMC9594883 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature