B. E. Gornyi, A. P. Ryjov, A. S. Strogalov, A. A. Khusaenov, I. A. Shergin, D. A. Feshchenko, A. M. Abdullaev, A. V. Kontsevaya, “The adverse clinical outcome risk classifiers сonstructing on clinical and demographic patient data”, Intelligent systems. Theory and applications, 2022, Volume 26, Issue 1,Pages <nobr>160

Part 3: Big Data Mining

The adverse clinical outcome risk classifiers сonstructing on clinical and demographic patient data

B. E. Gornyi^a, A. P. Ryjov^b, A. S. Strogalov^b, A. A. Khusaenov^b, I. A. Shergin^b, D. A. Feshchenko^a, A. M. Abdullaev^a, A. V. Kontsevaya^a

^a National Medical Research Center for Therapy and Preventive Medicine
^b Moscow State University, faculty of Mechanics and Mathematics

Abstract: The report presents the result of joint research carried out by researchers of the National Research Center for Therapy and Preventive Medicine of the Ministry of Health of the Russian Federation and by researchers of Faculty of Mechanics and Mathematics of the Lomonosov Moscow State University, showing the data analysis methods applicability in the problem of an unfavorable clinical outcome risk predicting based on clinic patient information (medical information system "Medialog").

Keywords: preventive medicine, adverse clinical outcome, in-depth data analysis.