A Predictive Model of Cardiovascular Aging by Clinical and Immunological Markers Using Machine Learning

A Predictive Model of Cardiovascular Aging by Clinical and Immunological Markers Using Machine Learning

<b>Background/Objectives:</b> Aging and immune mechanisms play a key role in the development of cardiovascular disease (CVD), especially in the context of chronic inflammation. Therefore, in order to detect early aging in the elderly, we have developed a prognostic model based on clinica...

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Main Authors: Madina Suleimenova, Kuat Abzaliyev, Madina Mansurova, Symbat Abzaliyeva, Almagul Kurmanova, Guzel Tokhtakulinova, Akbota Bugibayeva, Diana Sundetova, Merei Abdykassymova, Ulzhas Sagalbayeva, Raushan Bitemirova, Zhadyra Yerkin
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Diagnostics
Subjects:
artificial intelligence
machine learning
cardiovascular aging
predictive modeling
immunological markers
Online Access:https://www.mdpi.com/2075-4418/15/7/850
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