Bionic models for identification of biological systems

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 appro...

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Bibliographic Details
Published in:Journal of physics. Conference series 2017-01, Vol.803 (1), p.12046
Main Author: Gerget, O M
Format: Article
Language:English
Subjects:
Biomedical data
Bionics
Decision support systems
Genetic algorithms
Immune system
Neural networks
Optimization
Physics
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Summary: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.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/803/1/012046