Dynamic Artificial Neural Networks as Basis for Medicine Revolution

P. 351–358.

Yasnitsky L., Dumler A., Cherepanov F.

This article proposes a method of constructing dynamic neural network
mathematical models that allow not only to diagnose the disease at the
current time, but also to simulate the appearance and development of diseases in
future periods of time, as well as to control their appearance and development by
selecting the optimal lifestyle and optimal intake of drugs. It is assumed that the
use of dynamic neural network medical systems, instead of static, allow doctors,
before prescribing courses of treatment to patients, to test the effect of drugs not
on patients, but on their virtual mathematical models. The action of the system is
demonstrated by examples.

Keywords: диагностика, clinical diagnosis, predictions, искусственная нейронная сеть, artificial neural network, прогнозирование

In book

Advances in Intelligent Systems and Computing

Vol. 850: Digital Science. , Switzerland: Springer, 2019.