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Predicting primary aldosteronism: risk stratification-based and machine learning-based models
DOI:10.1093/eurjpc/zwag197.png)
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
IF:
7.5
Papers:
5.9K
Citations:
1.2W

