Document
type: Class

individual
rights: termsOfUse
date: 2026-08-24T05:55:13
publisher: Validation and utility of ARDS subphenotypes identified by machine-learning models using clinical data: an observational, multicohort, retrospective analysis
type: Document
label: RDF description of Validation and utility of ARDS subphenotypes identified by machine-learning models using clinical data: an observational, multicohort, retrospective analysis - http://irises.uniss.it/resource/item/244385

Academic Article
type: Class

Continuant
type: Class

Entity
type: Class

Generically Dependent Continuant
type: Class

Article
type: Class

Information Content Entity
type: Class

207661037
type: Entity
type: BFO_0000020
type: Authorship
type: Relationship
type: Continuant
type: Thing
relates: Validation and utility of ARDS subphenotypes identified by machine-learning models using clinical data: an observational, multicohort, retrospective analysis

Validation and utility of ARDS subphenotypes identified by machine-learning models using clinical data: an observational, multicohort, retrospective analysis
type: Information Content Entity
type: Generically Dependent Continuant
most specific type: Academic Article
language: Inglese
type: Document
type: Continuant
type: Academic Article
type: Thing
type: Article
type: Entity
related by: 207661037

Inglese
type: Language