Predicting Hypertension Subtypes with Machine Learning Using Targeted Metabolites and Their Ratios

Predicting Hypertension Subtypes with Machine Learning Using Targeted Metabolites and Their Ratios

Hypertension is a major global health problem with high prevalence and complex associated health risks. Primary hypertension (PHT) is most common and the reasons behind primary hypertension are largely unknown. Endocrine hypertension (EHT) is another complex form of hypertension with an estimated pr...

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Bibliographic Details
Main Authors: Smarti Reel, Parminder S. Reel, Zoran Erlic, Laurence Amar, Alessio Pecori, Casper K. Larsen, Martina Tetti, Christina Pamporaki, Cornelia Prehn, Jerzy Adamski, Aleksander Prejbisz, Filippo Ceccato, Carla Scaroni, Matthias Kroiss, Michael C. Dennedy, Jaap Deinum, Graeme Eisenhofer, Katharina Langton, Paolo Mulatero, Martin Reincke, Gian Paolo Rossi, Livia Lenzini, Eleanor Davies, Anne-Paule Gimenez-Roqueplo, Guillaume Assié, Anne Blanchard, Maria-Christina Zennaro, Felix Beuschlein, Emily R. Jefferson
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Metabolites
Subjects:
metabolomics
machine learning
hypertension
primary aldosteronism
pheochromocytoma/paraganglioma
Cushing syndrome
Online Access:https://www.mdpi.com/2218-1989/12/8/755

Internet

https://www.mdpi.com/2218-1989/12/8/755

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