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Phenotypic subtypes of fibrotic hypersensitivity pneumonitis identified by machine learning consensu...

Phenotypic subtypes of fibrotic hypersensitivity pneumonitis identified by machine learning consensu...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_aca78efe1a244a92a68a0cf44b0b596d

Phenotypic subtypes of fibrotic hypersensitivity pneumonitis identified by machine learning consensus clustering analysis

About this item

Full title

Phenotypic subtypes of fibrotic hypersensitivity pneumonitis identified by machine learning consensus clustering analysis

Publisher

England: BioMed Central Ltd

Journal title

Respiratory research, 2024-01, Vol.25 (1), p.41-41, Article 41

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Patients with fibrotic hypersensitivity pneumonitis (f-HP) have varied clinical and radiologic presentations whose associated phenotypic outcomes have not been previously described. We conducted a study to evaluate mortality and lung transplant (LT) outcomes among clinical clusters of f-HP as characterized by an unsupervised machine learning approa...

Alternative Titles

Full title

Phenotypic subtypes of fibrotic hypersensitivity pneumonitis identified by machine learning consensus clustering analysis

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_aca78efe1a244a92a68a0cf44b0b596d

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_aca78efe1a244a92a68a0cf44b0b596d

Other Identifiers

ISSN

1465-993X,1465-9921

E-ISSN

1465-993X,1465-9921

DOI

10.1186/s12931-024-02664-x

How to access this item