Predicting various forms of endometriosis using artificial neural networks | Sazonova | Siberian Journal of Clinical and Experimental Medicine

Siberian Journal of Clinical and Experimental Medicine

ISSN 2713-2927 (Print)
ISSN 2713-265X (Online)

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Sazonova N.G., Makarenko T.A., Narkevich A.N. Predicting various forms of endometriosis using artificial neural networks. Siberian Journal of Clinical and Experimental Medicine. 2020;35(4):143-149. (In Russ.) https://doi.org/10.29001/2073-8552-2020-35-4-143-149

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ISSN 2713-2927 (Print)
ISSN 2713-265X (Online)

Internal Medicine

Radiology, Nuclear Medicine and Imaging

Medicine (miscellaneous)

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Rostislav S. Karpov

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About the Authors

N. G. Sazonova
Krasnoyarsk State Medical University named after Professor V.F. Voino-Yasenetsky
Russian Federation

Nina G. Sazonova, Postgraduate Student

1, Partizan Zheleznyak str., Krasnoyarsk, 660022

T. A. Makarenko
Krasnoyarsk State Medical University named after Professor V.F. Voino-Yasenetsky
Russian Federation

Tatyana A. Makarenko, Dr. Sci. (Med.), Associate Professor, Head of the Department of Operative Gynecology

1, Partizan Zheleznyak str., Krasnoyarsk, 660022

A. N. Narkevich
Krasnoyarsk State Medical University named after Professor V.F. Voino-Yasenetsky
Russian Federation

Artem N. Narkevich, Cand. Sci. (Med.), Associate Professor, Head of the Research Laboratory of Medical Cybernetics and Management in Healthcare

1, Partizan Zheleznyak str., Krasnoyarsk, 660022

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