Neural network analysis of the relationships of risk factors with a fatal event depending on prospective follow-up duration

Neural network analysis of the relationships of risk factors with a fatal event depending on prospective follow-up duration

Aim. To compare the significance of risk factors (RF) in neural network modeling of a fatal outcome for prospective follow-up periods of 10, 20, 30 and 40 years.Material and methods. From the Russian Lipid Research Clinics Study of 1975-1982, 13263 men and 5691 women were included in the current fol...

Full description

Saved in:
Bibliographic Details
Main Authors: V. G. Vilkov, S. A. Shalnova, Yu. A. Balanova, G. A. Muromtseva, A. E. Imaeva, O. M. Drapkina
Format: Article
Language:Russian
Published: «SILICEA-POLIGRAF» LLC 2025-05-01
Series:Кардиоваскулярная терапия и профилактика
Subjects:
artificial neural networks
risk factors
all-cause mortality
prospective follow-up
russian population
Online Access:https://cardiovascular.elpub.ru/jour/article/view/4324
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items