Prediction of features of the course of chronic hepatitis C using Bayesian networks.

Autor: Samokhodskaya LM; M.V. Lomonosov Moscow State University, Moscow, Russia., Starostina EE; M.V. Lomonosov Moscow State University, Moscow, Russia., Sulimov AV; M.V. Lomonosov Moscow State University, Moscow, Russia., Krasnova ТN; M.V. Lomonosov Moscow State University, Moscow, Russia., Rosina TP; M.V. Lomonosov Moscow State University, Moscow, Russia.; I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University), Moscow, Russia., Avdeev VG; M.V. Lomonosov Moscow State University, Moscow, Russia., Savkin IA; M.V. Lomonosov Moscow State University, Moscow, Russia., Sulimov VB; M.V. Lomonosov Moscow State University, Moscow, Russia., Mukhin NA; M.V. Lomonosov Moscow State University, Moscow, Russia.; I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University), Moscow, Russia., Tkachuk VA; M.V. Lomonosov Moscow State University, Moscow, Russia., Sadovnichii VA; M.V. Lomonosov Moscow State University, Moscow, Russia.

Publikováno v: Terapevticheskii arkhiv [Ter Arkh] 2019 Mar 18; Vol. 91 (2), pp. 32-39.