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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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摘要

摘要

En 中文
原发性醛固酮增多症（PA）筛查在非选择性高血压患者人群中较为困难，具有挑战性。我们报告了基于风险分层或机器学习模型的新算法，以改善PA的筛查。
Keyword:
Primary aldosteronism
Risk stratification
Machine learning
Hypertensive patients
Screening algorithms

期刊

European Journal of Preventive Cardiology 封面图
European Journal of Preventive Cardiology
IF:
7.5
论文数:
6.0K
被引数:
1.2W

机构

C
CHU de Bordeaux
学者数:
112
论文数: 27
被引数: 0
U
Université Paris-Cité and Trousseau Universitary Hospital
学者数:
3
论文数: 1
被引数: 0
U
University Hospital of Bordeaux
学者数:
56
论文数: 35
被引数: 0
U
Université Paris Cité and Inserm and Sorbonne Université
学者数:
2
论文数: 1
被引数: 0
U
Université Paris-Cité
学者数:
8
论文数: 3
被引数: 0
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引用论文

引用论文

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