Elements of artificial intelligence in a predictive personalized model of pharmacotherapy choice in patients with heart failure with mildly reduced ejection fraction of ischemic origin

Elements of artificial intelligence in a predictive personalized model of pharmacotherapy choice in patients with heart failure with mildly reduced ejection fraction of ischemic origin

Aim. To create and train a neural network (NN) of a predictive personalized model of pharmacotherapy choice in patients with heart failure with mildly reduced ejection fraction (HFmrEF) of ischemic origin.Material and methods. The study included 170 people with HFmrEF of ischemic origin, who on the...

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Bibliographic Details
Main Authors: O. A. Osipova, A. V. Kontsevaya, V. V. Demko, E. V. Gosteva, A. A. Komisov, А. A. Kuzub, A. V. Serdyukova, A. S. Brizhaneva, R. N. Shepel, O. M. Drapkina
Format: Article
Language:Russian
Published: «SILICEA-POLIGRAF» LLC 2023-09-01
Series:Кардиоваскулярная терапия и профилактика
Subjects:
artificial intelligence
neural network
machine learning
pharmacotherapy
heart failure
Online Access:https://cardiovascular.elpub.ru/jour/article/view/3619

Internet

https://cardiovascular.elpub.ru/jour/article/view/3619

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