1. Svyatochevskii P.A., Gulyaev D.A., Orlov V.N. i dr. Issledovanie dinamiki khirurgicheskoi aktivnosti v otnoshenii gipertenzivnykh vnutrimozgovykh gematom s pomoshch'yu matematicheskogo modelirovaniya na primere Respubliki Chuvashiya. Saratovskii nauchno-meditsinskii zhurnal 2019;15(2):308–12. [Svyatochevsky P.A., Gulyaev D.A., Orlov V.N. et al. Investigation of the dynamics of surgical activity in relation to hypertensive intracerebral hematomas using mathematical modeling on the example of the Republic of Chuvashia. Saratovskiy nauchnomeditsinskiy zhurnal = Saratov Scientific and Medical Journal 2019;15(2):308–12. (In Russ.)].
2. Starkov E.F. Sistema podderzhki prinyatiya reshenii v meditsine. Vestnik novykh meditsinskikh tekhnologii 2006;13(2). [Starkov E.F. Decision support system in medicine. Vestnik novykh meditsinskikh tekhnologiy = Bulletin of New Medical Technologies 2006;13(2). (In Russ.)].
3. Gusev A.V. Perspektivy neironnykh setei i glubokogo mashinnogo obucheniya v sozdanii reshenii dlya zdravookhraneniya. Iskusstvennyi intellekt v zdravookhranenii 2017(3):92–106. [Gusev A.V. Prospects of neural networks and deep machine learning in creating solutions for healthcare. Iskusstvennyy intellekt v zdravookhranenii = Artificial intelligence in healthcare 2017(3):92–106. (In Russ.)].
4. McCulloch W.S., Pitts W. A logical calculus of the ideas immanent in nervous activity. Bull Math Biophys 1943;5:115–33. DOI: 10.1007/BF02478259.
5. Yasnitskii L.N., Dumler A.A., Bogdanov K.V. i dr. Diagnostika i prognozirovanie techeniya zabolevanii serdechno-sosudistoi sistemy na osnove neironnykh setei. Meditsinskaya tekhnika 2013(3):42–4. [Yasnitskiy L.N., Dumler A.A., Bogdanov K.V. et al. Diagnosis and prediction of the course of diseases of the cardiovascular system based on neural networks. Meditsinskaya tekhnika = Medical equipment 2013(3):42–4. (In Russ.)].