Prediction of the progression of endometrial hyperplasia in women of premenopausal and menopausal age based 
on an analysis of clinical and anamnestic indicators using multiparametric neural network clustering

Petro Selskyy; Andrii Sverstiuk; Andrii Slyva; Boryslav Selskyi

doi:10.5114/fmpcr.2023.127679

eISSN: 2449-8580
ISSN: 1734-3402

Family Medicine & Primary Care Review

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Original paper

Prediction of the progression of endometrial hyperplasia in women of premenopausal and menopausal age based on an analysis of clinical and anamnestic indicators using multiparametric neural network clustering

Petro Selskyy

¹

,

Andrii Sverstiuk

²

,

Andrii Slyva

¹

,

Boryslav Selskyi

³

Department of Pathological Anatomy with Autopsy Course and Forensic Medicine, I. Horbachevsky Ternopil National Medical University, Ternopil, Ukraine
Department of Medical Informatics, I. Horbachevsky Ternopil National Medical University, Ternopil, Ukraine
Department of Surgary № 2, I. Horbachevsky Ternopil National Medical University, Ternopil, Ukraine

Family Medicine & Primary Care Review 2023; 25(2): 184–189

DOI: https://doi.org/10.5114/fmpcr.2023.127679

Online publish date: 2023/06/26

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AMA

Selskyy P, Sverstiuk A, Slyva A, Selskyi B. Prediction of the progression of endometrial hyperplasia in women of premenopausal and menopausal age based 
on an analysis of clinical and anamnestic indicators using multiparametric neural network clustering. Family Medicine & Primary Care Review. 2023;25(2):184-189. doi:10.5114/fmpcr.2023.127679.

APA

Selskyy, P., Sverstiuk, A., Slyva, A.,  & Selskyi, B. (2023). Prediction of the progression of endometrial hyperplasia in women of premenopausal and menopausal age based 
on an analysis of clinical and anamnestic indicators using multiparametric neural network clustering. Family Medicine & Primary Care Review, 25(2), 184-189. https://doi.org/10.5114/fmpcr.2023.127679

Chicago

Selskyy, Petro, Andrii Sverstiuk, Andrii Slyva,  and Boryslav Selskyi. 2023. "Prediction of the progression of endometrial hyperplasia in women of premenopausal and menopausal age based 
on an analysis of clinical and anamnestic indicators using multiparametric neural network clustering". Family Medicine & Primary Care Review 25 (2): 184-189. doi:10.5114/fmpcr.2023.127679.

Harvard

Selskyy, P., Sverstiuk, A., Slyva, A.,  and Selskyi, B. (2023). Prediction of the progression of endometrial hyperplasia in women of premenopausal and menopausal age based 
on an analysis of clinical and anamnestic indicators using multiparametric neural network clustering. Family Medicine & Primary Care Review, 25(2), pp.184-189. https://doi.org/10.5114/fmpcr.2023.127679

MLA

Selskyy, Petro et al. "Prediction of the progression of endometrial hyperplasia in women of premenopausal and menopausal age based 
on an analysis of clinical and anamnestic indicators using multiparametric neural network clustering." Family Medicine & Primary Care Review, vol. 25, no. 2, 2023, pp. 184-189. doi:10.5114/fmpcr.2023.127679.

Vancouver

Selskyy P, Sverstiuk A, Slyva A, Selskyi B. Prediction of the progression of endometrial hyperplasia in women of premenopausal and menopausal age based 
on an analysis of clinical and anamnestic indicators using multiparametric neural network clustering. Family Medicine & Primary Care Review. 2023;25(2):184-189. doi:10.5114/fmpcr.2023.127679.

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Copyright: © 2023 Family Medicine & Primary Care Review. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License (http://creativecommons.org/licenses/by-nc-sa/4.0/), allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license.

Prediction of the progression of endometrial hyperplasia in women of premenopausal and menopausal age based on an analysis of clinical and anamnestic indicators using multiparametric neural network clustering

Petro Selskyy 1 , Andrii Sverstiuk 2 , Andrii Slyva 1 , Boryslav Selskyi 3

Petro Selskyy

¹

,

Andrii Sverstiuk

²

,

Andrii Slyva

¹

,

Boryslav Selskyi

³