1. Yasnitsky, L.N.: New possibilities of application of artificial intelligence methods in medicine: diagnosis, forecasting and modeling of development of cardiovascular diseases [Hoвыe вoзмoжнocти пpимeнeния мeтoдoв иcкyccтвeннoгo интeллeктa в мeдицинe: диaгнocтикa, пpoгнoзиpoвaниe и мoдeлиpoвaниe paзвития зaбoлeвaний cepдeчнo-cocyдиcтoй cиcтeмы]. In: XII National Congress of therapists, Moscow, pp. 153–154 (2017)
2. Amato, F., López, F., Peña-Méndez, E.M., Vaňhara, P., Hampl, A., Havel, J.: Artificial neural networks in medical diagnosis. J. Appl. Biomed. 11, 47–58 (2013).
https://doi.org/10.2478/v10136-012-0031-x
3. Sandhu, I.K., Nair, M., Shukla, H., Sandhu, S.S.: Artificial neural network: as emerging diagnostic tool for breast cancer. Int. J. Pharm. Biol. Sci. 5(3), 29–41 (2015)
4. Narang, S., Verma, H.K., Sachdev, U.: A review of breast cancer detection using ART model of neural networks. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 2(10), 311–319 (2012)
5. Awwalu, J., Garba, A.G., Ghazvini, A., Atuah, R.: Artificial intelligence in personalized medicine application of AI algorithms in solving personalized medicine problems. Int. J. Comput. Theory Eng. 7(6), 439–443 (2015)