Bionic models for identification of biological systems; Journal of Physics: Conference Series; Vol. 803 : Information Technologies in Business and Industry (ITBI2016)

Bionic models for identification of biological systems; Journal of Physics: Conference Series; Vol. 803 : Information Technologies in Business and Industry (ITBI2016)

Podrobná bibliografie
Parent link:	Journal of Physics: Conference Series Vol. 803 : Information Technologies in Business and Industry (ITBI2016).— 2017.— [012046, 6 p.]
Hlavní autor:	Gerget O. M. Olga Mikhailovna
Korporativní autor:	Национальный исследовательский Томский политехнический университет (ТПУ) Управление проректора по научной работе и инновациям (НРиИ) Центр RASA в Томске Лаборатория дизайна медицинских изделий (Лаб. ДМИ)
Shrnutí:	Title screen 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.
Jazyk:	angličtina
Vydáno:	2017
Témata:	электронный ресурс труды учёных ТПУ бионические модели идентификация биомедицинские данные нейронные сети генетические алгоритмы имунные системы сигналы программное обеспечение
On-line přístup:	http://dx.doi.org/10.1088/1742-6596/803/1/012046 http://earchive.tpu.ru/handle/11683/38147
Médium:	Elektronický zdroj Kapitola
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=654335

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