Bionic models for identification of biological systems

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)


This article proposes a clinical decision support system that processes biomedical data. For this purpose a bionic model has been designed based on neural networks, genetic algorithms and immune systems. The developed system has been tested on data from pregnant women. The paper focuses on the approach to enable selection of control actions that can minimize the risk of adverse outcome. The control actions (hyperparameters of a new type) are further used as an additional input signal. Its values are defined by a hyperparameter optimization method. A software developed with Python is briefly described.

Original languageEnglish
Article number012046
JournalJournal of Physics: Conference Series
Issue number1
Publication statusPublished - 2017
EventInternational Conference on Information Technologies in Business and Industry 2016 - Tomsk, Russian Federation
Duration: 21 Sep 201623 Sep 2016

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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