Work

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

Year: 2024

Type: article

Study design: Observational Study

Source: Lung

DOI: 10.1007/s00408-024-00673-7

Authors: Alex N. Mueller, Hunter A. Miller, Matthew J. Taylor, Sally A. Suliman, Hermann B. Frieboes

Institutions: University of Louisville, University of Arizona, University of Arizona College of Medicine- Phoenix

Language: English

Topic: Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: University of Louisville

OpenAlex ID: W4391972303

FWCI: 1.773

Cites: 56

Cited by: 7

Related to: 10