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Predicting primary aldosteronism: risk stratification-based and machine learning-based models

delete2026-04-27
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OA
AI
J
Jean-Baptiste de Fréminville *
L
Laurence Amar
J
Jean Feydy
A
Antoine Crémer
R
Romain Boulestreau
P
Philippe Gosse
S
Stéphanie Baron
M
Michel Azizi
B
Bastien Rance
DOI:10.1093/eurjpc/zwag197delete
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Abstract

Abstract

En 中文
Primary aldosteronism (PA) screening is difficult in an unselected population of hypertensive patients, as it can be challenging. We report new algorithms based either on risk stratification or machine learning models to improve the screening of PA.
Keywords:
Primary aldosteronism
Risk stratification
Machine learning
Hypertensive patients
Screening algorithms

Journal

European Journal of Preventive Cardiology cover
European Journal of Preventive Cardiology
IF:
7.5
Papers:
5.9K
Citations:
1.2W

Organization

C
CHU de Bordeaux
Scholars:
112
Papers: 27
Citations: 0
U
University Hospital of Bordeaux
Scholars:
56
Papers: 35
Citations: 0
U
Université Paris-Cité
Scholars:
8
Papers: 3
Citations: 0
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