Arterial hypertension is a major cardiovascular risk factor. Identification of secondary hypertension in its various forms is key to preventing and targeting treatment of cardiovascular complications. Simplified diagnostic tests are urgently required to distinguish primary and secondary hypertension to address the current underdiagnosis of the latter.

Machine learning for classification of hypertension subtypes using multi-omics: A multi-centre, retrospective, data-driven study

Ceccato, Filippo
Membro del Collaboration Group
;
Scaroni, Carla
Membro del Collaboration Group
;
Rossi, Gian Paolo
Membro del Collaboration Group
;
Lenzini, Livia
Membro del Collaboration Group
;
2022

Abstract

Arterial hypertension is a major cardiovascular risk factor. Identification of secondary hypertension in its various forms is key to preventing and targeting treatment of cardiovascular complications. Simplified diagnostic tests are urgently required to distinguish primary and secondary hypertension to address the current underdiagnosis of the latter.
2022
File in questo prodotto:
File Dimensione Formato  
2022 Reel multi omics ML.pdf

accesso aperto

Tipologia: Published (publisher's version)
Licenza: Creative commons
Dimensione 3.5 MB
Formato Adobe PDF
3.5 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3459458
Citazioni
  • ???jsp.display-item.citation.pmc??? 0
  • Scopus 31
  • ???jsp.display-item.citation.isi??? 25
  • OpenAlex ND
social impact