A Diagnostic Classifier Based on Circulating miRNA Pairs for COPD Using a Machine Learning Approach.

ABSTRACT: Chronic obstructive pulmonary disease (COPD) is highly underdiagnosed, and early detection is urgent to prevent advanced progression. Circulating microRNAs (miRNAs) have been diagnostic candidates for multiple diseases. However, their diagnostic value has not yet been fully established in COPD. The purpose of this study was to develop an effective model for the diagnosis of COPD based on circulating miRNAs. We included circulating miRNA expression profiles of two independent cohorts consisting of 63 COPD and 110 normal samples, and then we constructed a miRNA pair-based matrix. Diagnostic models were developed using several machine learning algorithms. The predictive performance of the optimal model was validated in our external cohort. In this study, the diagnostic values of miRNAs based

SUBMITTER: Xuan S 

PROVIDER: S-EPMC10137826 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature