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

Bibliographic Details
Main Authors: Petro Selskyy, Andrii Sverstiuk, Andrii Slyva, Boryslav Selskyi
Format: Article
Language:English
Published: Continuo 2023-06-01
Series:Family Medicine & Primary Care Review
Subjects:
Online Access:https://www.termedia.pl/Prediction-of-the-progression-of-endometrial-hyperplasia-in-women-of-premenopausal-and-menopausal-age-based-r-non-an-analysis-of-clinical-and-anamnestic-indicators-using-multiparametric-neural-network,95,50742,1,1.html
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author Petro Selskyy
Andrii Sverstiuk
Andrii Slyva
Boryslav Selskyi
author_facet Petro Selskyy
Andrii Sverstiuk
Andrii Slyva
Boryslav Selskyi
author_sort Petro Selskyy
collection DOAJ
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institution Directory Open Access Journal
issn 1734-3402
2449-8580
language English
last_indexed 2024-03-12T02:27:00Z
publishDate 2023-06-01
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spelling doaj.art-66739721b9e3479881b74402925c8b592023-09-05T11:55:07ZengContinuoFamily Medicine & Primary Care Review1734-34022449-85802023-06-0125218418910.5114/fmpcr.2023.12767950742Prediction 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 clusteringPetro SelskyyAndrii SverstiukAndrii SlyvaBoryslav Selskyihttps://www.termedia.pl/Prediction-of-the-progression-of-endometrial-hyperplasia-in-women-of-premenopausal-and-menopausal-age-based-r-non-an-analysis-of-clinical-and-anamnestic-indicators-using-multiparametric-neural-network,95,50742,1,1.htmlprimary health care endometrial hyperplasia women.
spellingShingle Petro Selskyy
Andrii Sverstiuk
Andrii Slyva
Boryslav Selskyi
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
primary health care
endometrial hyperplasia
women.
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic primary health care
endometrial hyperplasia
women.
url https://www.termedia.pl/Prediction-of-the-progression-of-endometrial-hyperplasia-in-women-of-premenopausal-and-menopausal-age-based-r-non-an-analysis-of-clinical-and-anamnestic-indicators-using-multiparametric-neural-network,95,50742,1,1.html
work_keys_str_mv AT petroselskyy predictionoftheprogressionofendometrialhyperplasiainwomenofpremenopausalandmenopausalagebasedonananalysisofclinicalandanamnesticindicatorsusingmultiparametricneuralnetworkclustering
AT andriisverstiuk predictionoftheprogressionofendometrialhyperplasiainwomenofpremenopausalandmenopausalagebasedonananalysisofclinicalandanamnesticindicatorsusingmultiparametricneuralnetworkclustering
AT andriislyva predictionoftheprogressionofendometrialhyperplasiainwomenofpremenopausalandmenopausalagebasedonananalysisofclinicalandanamnesticindicatorsusingmultiparametricneuralnetworkclustering
AT boryslavselskyi predictionoftheprogressionofendometrialhyperplasiainwomenofpremenopausalandmenopausalagebasedonananalysisofclinicalandanamnesticindicatorsusingmultiparametricneuralnetworkclustering