Abstract
The powerful development of modern technologies of laboratory diagnostics, including molecular diagnostics, offers a fairly large number of parameters for assessing the state of the body, the interpretation of which is difficult for doctors.
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Plekhova, N.G., Nevzorova, V.A., Chernenko, I.N., Priseko, L.G., Shestopalov, E.Y. (2022). Comparative Analysis of Machine Learning Methods for Assessing the Predictive Potential of Risk Factors for the Development of Cardiovascular Diseases. In: Silhavy, R. (eds) Artificial Intelligence Trends in Systems. CSOC 2022. Lecture Notes in Networks and Systems, vol 502. Springer, Cham. https://doi.org/10.1007/978-3-031-09076-9_18
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