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

Autor:	Nancy F. Yuan, Kyle Hasenstab, Tara Retson, Douglas J. Conrad, David A. Lynch, Albert Hsiao
Rok vydání:	2022
Předmět:	Pulmonary and Respiratory Medicine Male Pulmonary Disease Chronic Obstructive Pulmonary Emphysema Forced Expiratory Volume Disease Progression Humans Female Tomography X-Ray Computed Unsupervised Machine Learning
Zdroj:	Annals of the American Thoracic Society. 19(12)
ISSN:	2325-6621
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79703c53a0b6749349e94ac71887a63f https://pubmed.ncbi.nlm.nih.gov/35830591 Zobrazit plný text záznamu