Work

Unsupervised Learning Identifies Computed Tomographic Measurements as Primary Drivers of Progression, Exacerbation, and Mortality in Chronic Obstructive Pulmonary Disease

Year: 2022

Type: article

Source: Annals of the American Thoracic Society

DOI: 10.1513/annalsats.202110-1127oc

Authors: Nancy F. Yuan, Kyle Hasenstab, Tara Retson, Douglas J. Conrad, David A. Lynch, Albert Hsiao

Institutions: San Diego State University, University of California San Diego, National Jewish Health

Language: English

Topic: Chronic Obstructive Pulmonary Disease (COPD) Research

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4285087646

FWCI: 0.567

Cites: 30

Cited by: 5

Related to: 10