Machine learning for predicting 5-year mortality risks: data from the ESSE-RF study in Primorsky Krai von Nevzorova, V. A., Brodskaya, T. A., Shakhgeldyan, K. I., Geltser, B. I., Kosterin, V. V., Priseko, L. G.

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Machine learning for predicting the outcomes and risks of cardiovascular diseases in patients with hypertension: results of ESSE-RF in the Primorsky Krai von Nevzorova, V. A., Plekhova, N. G., Priseko, L. G., Chernenko, I. N., Bogdanov, D. Yu, Mokshina, M. V., Kulakova, N. V.

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Association of Cardiovascular Events and Blood Pressure and Serum Lipoprotein Indicators Based on Functional Data Analysis as a Personalized Approach to the Diagnosis von Plekhova, N. G., Nevzorova, V. A., Brodskay, T. A., Shakhgeldyan, K. I., Geltser, B. I., Priseko, L. G., Chernenko, I. N., Grunberg, K. L.

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Comparative Analysis of Machine Learning Methods for Assessing the Predictive Potential of Risk Factors for the Development of Cardiovascular Diseases von Plekhova, N. G., Nevzorova, V. A., Chernenko, I. N., Priseko, L. G., Shestopalov, E. Yu

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