The identification of Primary Aldosteronism (PA) is challenging in that this common cause of curable hypertension often mimics primary (essential) hypertension. Hence, we aimed at developing an improved machine learning method for the classification of PA. Since missing values and collinearity are common problems in the real-world data, the new method was required to deal with such issues.

Heterogeneous Machine Learning System for Diagnosing Primary Aldosteronism

NANNI, LORIS;FANTOZZI, CARLO;PIETRACAPRINA, ANDREA ALBERTO;PUCCI, GEPPINO;SECCIA, TERESA MARIA;ROSSI, GIANPAOLO
2013

Abstract

The identification of Primary Aldosteronism (PA) is challenging in that this common cause of curable hypertension often mimics primary (essential) hypertension. Hence, we aimed at developing an improved machine learning method for the classification of PA. Since missing values and collinearity are common problems in the real-world data, the new method was required to deal with such issues.
2013
ESH 2013 Abstract Book
23rd European Meeting on Hypertension and Cardiovascular Protection
File in questo prodotto:
File Dimensione Formato  
Abstract ESH 2013.pdf

accesso aperto

Tipologia: Published (publisher's version)
Licenza: Accesso libero
Dimensione 98.68 kB
Formato Adobe PDF
98.68 kB Adobe PDF Visualizza/Apri
Poster ESH 2013.pdf

accesso aperto

Tipologia: Published (publisher's version)
Licenza: Accesso libero
Dimensione 917.23 kB
Formato Adobe PDF
917.23 kB 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/11577/2840048
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
  • OpenAlex ND
social impact