A Novel Machine Learning Approach to Assist Early Diagnosis of Diffuse Panbronchiolitis.

ABSTRACT:

Background

Diffuse panbronchiolitis (DPB) is a rare and progressive inflammatory lung disease affecting the small airways; however, it is often misdiagnosed as other respiratory conditions, such as nontuberculous mycobacterial infection or bronchiectasis. This study aimed to apply machine learning (ML) algorithms to improve early diagnostic accuracy for DPB.

Methods

ML algorithms were applied using clinical, laboratory, and radiological data from 99 patients with suspected DPB. Patients were categorized into two groups based on established diagnostic criteria and major diagnostic criteria for DPB without impaired lung function. Seven ML models were evaluated.

Results

The least absolute shrinkage and selection operator regression model demonstrated the highest predicti

SUBMITTER: Lee HJ 

PROVIDER: S-EPMC12685589 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature