Machine learning for predicting 5-year mortality risks: data from the ESSE-RF study in Primorsky Krai

Machine learning for predicting 5-year mortality risks: data from the ESSE-RF study in Primorsky Krai

Aim. To develop and perform comparative assessment of the accuracy of models for predicting 5-year mortality risks according to the Epidemiology of Cardiovascular Diseases and their Risk Factors in Regions of Russian Federation (ESSE-RF) study in Primorsky Krai.Material and methods. The study includ...

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Bibliographic Details
Main Authors: V. A. Nevzorova, T. A. Brodskaya, K. I. Shakhgeldyan, B. I. Geltser, V. V. Kosterin, L. G. Priseko
Format: Article
Language:Russian
Published: «SILICEA-POLIGRAF» LLC 2022-01-01
Series:Кардиоваскулярная терапия и профилактика
Subjects:
machine learning methods
prediction
risk factors
mortality
esse-rf
Online Access:https://cardiovascular.elpub.ru/jour/article/view/2908
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https://cardiovascular.elpub.ru/jour/article/view/2908

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