Machine Learning Model Discriminate Ischemic Heart Disease Using Breathome Analysis

Machine Learning Model Discriminate Ischemic Heart Disease Using Breathome Analysis

<b>Background:</b> Ischemic heart disease (IHD) impacts the quality of life and is the most frequently reported cause of morbidity and mortality globally. <b>Aims:</b> To assess the changes in the exhaled volatile organic compounds (VOCs) in patients with vs. without ischemic...

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Main Authors: Basheer Abdullah Marzoog, Peter Chomakhidze, Daria Gognieva, Nina Vladimirovna Gagarina, Artemiy Silantyev, Alexander Suvorov, Ekaterina Fominykha, Malika Mustafina, Ershova Natalya, Aida Gadzhiakhmedova, Philipp Kopylov
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Biomedicines
Subjects:
breathome
metabolome
PTR-TOF-MS
VOCs
IHD
optimizing
Online Access:https://www.mdpi.com/2227-9059/12/12/2814
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