Identification of Idiopathic Pulmonary Fibrosis and Prediction of Disease Severity via Machine Learning Analysis of Comprehensive Metabolic Panel and Complete Blood Count Data

ConclusionAnalysis of CMP and CBC data via proposed ML methodology offers the potential to distinguish IPF from CTD-ILD and predict severity on associated PFT with accuracy that meets or exceeds current clinical practice.

http://link.springer.com/10.1007/s00408-024-00673-7

Source: Lung - February 20, 2024 Category: Respiratory Medicine Source Type: research