Evaluation of informativity risk factors of breast cancer in the female population of the Omsk region: Bayesian approach

The paper shows the possibility of assessment of individual risk of developing breast cancer in women using an algorithm based on Bayes ' theorem. An epidemiological study (such as "case-control"), the prevalence of known risk factors for breast cancer in the female population of the...

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Main Authors: N. G. Shirlina, D. V. Turchaninov, V. L. Stasenko, E. A. Vilms
Format: Article
Language:Russian
Published: Numikom LLC 2015-12-01
Series:Эпидемиология и вакцинопрофилактика
Subjects:
Online Access:https://www.epidemvac.ru/jour/article/view/105
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spelling doaj-c545411c863249168d8728344e7dcf2a2021-07-28T13:31:46ZrusNumikom LLCЭпидемиология и вакцинопрофилактика2073-30462619-04942015-12-01146535910.31631/2073-3046-2015-14-6-53-59104Evaluation of informativity risk factors of breast cancer in the female population of the Omsk region: Bayesian approachN. G. Shirlina0D. V. Turchaninov1V. L. Stasenko2E. A. Vilms3State Funded Educational Institution for Higher Professional Education «Omsk State Medical University»State Funded Educational Institution for Higher Professional Education «Omsk State Medical University»State Funded Educational Institution for Higher Professional Education «Omsk State Medical University»State Funded Educational Institution for Higher Professional Education «Omsk State Medical University»The paper shows the possibility of assessment of individual risk of developing breast cancer in women using an algorithm based on Bayes ' theorem. An epidemiological study (such as "case-control"), the prevalence of known risk factors for breast cancer in the female population of the Omsk region (n = 1002). The estimation of informativenes of risk factors for breast cancer signs and in terms of the likelihood ratio. Defined sensitivity and specificity of the proposed diagnostic test.https://www.epidemvac.ru/jour/article/view/105рак молочной железыфакторы рискабайесовский подходомская областьпервичная профилактикаbreast cancerrisk factorsbayesian approachomsk regionprimary prevention
collection DOAJ
language Russian
format Article
sources DOAJ
author N. G. Shirlina
D. V. Turchaninov
V. L. Stasenko
E. A. Vilms
spellingShingle N. G. Shirlina
D. V. Turchaninov
V. L. Stasenko
E. A. Vilms
Evaluation of informativity risk factors of breast cancer in the female population of the Omsk region: Bayesian approach
Эпидемиология и вакцинопрофилактика
рак молочной железы
факторы риска
байесовский подход
омская область
первичная профилактика
breast cancer
risk factors
bayesian approach
omsk region
primary prevention
author_facet N. G. Shirlina
D. V. Turchaninov
V. L. Stasenko
E. A. Vilms
author_sort N. G. Shirlina
title Evaluation of informativity risk factors of breast cancer in the female population of the Omsk region: Bayesian approach
title_short Evaluation of informativity risk factors of breast cancer in the female population of the Omsk region: Bayesian approach
title_full Evaluation of informativity risk factors of breast cancer in the female population of the Omsk region: Bayesian approach
title_fullStr Evaluation of informativity risk factors of breast cancer in the female population of the Omsk region: Bayesian approach
title_full_unstemmed Evaluation of informativity risk factors of breast cancer in the female population of the Omsk region: Bayesian approach
title_sort evaluation of informativity risk factors of breast cancer in the female population of the omsk region: bayesian approach
publisher Numikom LLC
series Эпидемиология и вакцинопрофилактика
issn 2073-3046
2619-0494
publishDate 2015-12-01
description The paper shows the possibility of assessment of individual risk of developing breast cancer in women using an algorithm based on Bayes ' theorem. An epidemiological study (such as "case-control"), the prevalence of known risk factors for breast cancer in the female population of the Omsk region (n = 1002). The estimation of informativenes of risk factors for breast cancer signs and in terms of the likelihood ratio. Defined sensitivity and specificity of the proposed diagnostic test.
topic рак молочной железы
факторы риска
байесовский подход
омская область
первичная профилактика
breast cancer
risk factors
bayesian approach
omsk region
primary prevention
url https://www.epidemvac.ru/jour/article/view/105
work_keys_str_mv AT ngshirlina evaluationofinformativityriskfactorsofbreastcancerinthefemalepopulationoftheomskregionbayesianapproach
AT dvturchaninov evaluationofinformativityriskfactorsofbreastcancerinthefemalepopulationoftheomskregionbayesianapproach
AT vlstasenko evaluationofinformativityriskfactorsofbreastcancerinthefemalepopulationoftheomskregionbayesianapproach
AT eavilms evaluationofinformativityriskfactorsofbreastcancerinthefemalepopulationoftheomskregionbayesianapproach
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