Prediction of prostate cancer by the general discriminant analysis models

Prediction of prostate cancer by the general discriminant analysis models

The study presents a retrospective analysis of risk factors for prostate cancer in 122 men. First, a comparative analysis of many factors: age, weight, bad habits, levels of testosterone and of prostate-specific antigen (PSA), comorbidities, blood group, RH factor, manual rectal investigation, the r...

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Main Authors: A A Kostin, A T Asratov, N G Kulchenko, A O Tolkachev
Format: Article
Language:English
Published: Peoples’ Friendship University of Russia (RUDN University) 2015-12-01
Series:RUDN Journal of Medicine
Subjects:
рак предстательной железы
доброкачественная гиперплазия предстательной железы
факторы риска рака предстательной железы
простат-специфический антиген
Online Access:http://journals.rudn.ru/medicine/article/view/3155
id doaj-a3c9176e2bfb4e9981448d255cc46da9
record_format Article
spelling doaj-a3c9176e2bfb4e9981448d255cc46da92020-11-25T01:13:37ZengPeoples’ Friendship University of Russia (RUDN University)RUDN Journal of Medicine2313-02452313-02612015-12-010367743155Prediction of prostate cancer by the general discriminant analysis modelsA A Kostin0A T Asratov1N G Kulchenko2A O Tolkachev3Российский университет дружбы народовРоссийский университет дружбы народовРоссийский университет дружбы народовМосковский научно-исследовательский онкологический институт им. П.А. Герцена филиал ФГБУ «НМИРЦ» Минздрава РоссииThe study presents a retrospective analysis of risk factors for prostate cancer in 122 men. First, a comparative analysis of many factors: age, weight, bad habits, levels of testosterone and of prostate-specific antigen (PSA), comorbidities, blood group, RH factor, manual rectal investigation, the results of the prostate ultrasound was conducted. Next, using general models of discriminant analysis, five of the most significant risk factors for prostate cancer were identified: inflammatory diseases of the kidneys and bladder, increased PSA blood test, blood group, overweight patient. Applied discriminant equation containing the five most informative features, allows up to 97.5% to predict the likelihood of developing prostate cancer.http://journals.rudn.ru/medicine/article/view/3155рак предстательной железыдоброкачественная гиперплазия предстательной железыфакторы риска рака предстательной железыпростат-специфический антиген
collection DOAJ
language English
format Article
sources DOAJ
author A A Kostin
A T Asratov
N G Kulchenko
A O Tolkachev
spellingShingle A A Kostin
A T Asratov
N G Kulchenko
A O Tolkachev
Prediction of prostate cancer by the general discriminant analysis models
RUDN Journal of Medicine
рак предстательной железы
доброкачественная гиперплазия предстательной железы
факторы риска рака предстательной железы
простат-специфический антиген
author_facet A A Kostin
A T Asratov
N G Kulchenko
A O Tolkachev
author_sort A A Kostin
title Prediction of prostate cancer by the general discriminant analysis models
title_short Prediction of prostate cancer by the general discriminant analysis models
title_full Prediction of prostate cancer by the general discriminant analysis models
title_fullStr Prediction of prostate cancer by the general discriminant analysis models
title_full_unstemmed Prediction of prostate cancer by the general discriminant analysis models
title_sort prediction of prostate cancer by the general discriminant analysis models
publisher Peoples’ Friendship University of Russia (RUDN University)
series RUDN Journal of Medicine
issn 2313-0245
2313-0261
publishDate 2015-12-01
description The study presents a retrospective analysis of risk factors for prostate cancer in 122 men. First, a comparative analysis of many factors: age, weight, bad habits, levels of testosterone and of prostate-specific antigen (PSA), comorbidities, blood group, RH factor, manual rectal investigation, the results of the prostate ultrasound was conducted. Next, using general models of discriminant analysis, five of the most significant risk factors for prostate cancer were identified: inflammatory diseases of the kidneys and bladder, increased PSA blood test, blood group, overweight patient. Applied discriminant equation containing the five most informative features, allows up to 97.5% to predict the likelihood of developing prostate cancer.
topic рак предстательной железы
доброкачественная гиперплазия предстательной железы
факторы риска рака предстательной железы
простат-специфический антиген
url http://journals.rudn.ru/medicine/article/view/3155
work_keys_str_mv AT aakostin predictionofprostatecancerbythegeneraldiscriminantanalysismodels
AT atasratov predictionofprostatecancerbythegeneraldiscriminantanalysismodels
AT ngkulchenko predictionofprostatecancerbythegeneraldiscriminantanalysismodels
AT aotolkachev predictionofprostatecancerbythegeneraldiscriminantanalysismodels
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