Predicting the occurrence of strokes using the language R

Predicting the occurrence of strokes using the language R

Probability of stroke is analyzed based on data from Stroke.md system. Selection of features that significantly affect target variable was made. To solve the problem, classification algorithms are used: support vector machines, logistic regression, decision trees, random forest and others; compariso...

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Bibliographic Details
Main Author: Vladimir Popukaylo
Format: Article
Language:English
Published: Institute of Mathematics and Computer Science of the Academy of Sciences of Moldova 2019-05-01
Series:Computer Science Journal of Moldova
Subjects:
mathematical modeling
stroke prediction
data analysis
Stroke.md
Online Access:http://www.math.md/files/csjm/v27-n1/v27-n1-(pp73-84).pdf
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spelling doaj-57d82ebd8bce43229b9396fdab9c64932020-11-25T00:14:00ZengInstitute of Mathematics and Computer Science of the Academy of Sciences of MoldovaComputer Science Journal of Moldova1561-40422019-05-01271(79)7384Predicting the occurrence of strokes using the language RVladimir Popukaylo0Vladimir Andrunakievich Institute of Mathematics and Computer Science; T.G. Shevchenko Transnistrian State University Moldova, Tiraspol, str. Vosstania 2a, cab. 311BProbability of stroke is analyzed based on data from Stroke.md system. Selection of features that significantly affect target variable was made. To solve the problem, classification algorithms are used: support vector machines, logistic regression, decision trees, random forest and others; comparison of the resulting mathematical models; preprocessing and building models produced in R-language.http://www.math.md/files/csjm/v27-n1/v27-n1-(pp73-84).pdfmathematical modelingstroke predictiondata analysisStroke.md
collection DOAJ
language English
format Article
sources DOAJ
author Vladimir Popukaylo
spellingShingle Vladimir Popukaylo
Predicting the occurrence of strokes using the language R
Computer Science Journal of Moldova
mathematical modeling
stroke prediction
data analysis
Stroke.md
author_facet Vladimir Popukaylo
author_sort Vladimir Popukaylo
title Predicting the occurrence of strokes using the language R
title_short Predicting the occurrence of strokes using the language R
title_full Predicting the occurrence of strokes using the language R
title_fullStr Predicting the occurrence of strokes using the language R
title_full_unstemmed Predicting the occurrence of strokes using the language R
title_sort predicting the occurrence of strokes using the language r
publisher Institute of Mathematics and Computer Science of the Academy of Sciences of Moldova
series Computer Science Journal of Moldova
issn 1561-4042
publishDate 2019-05-01
description Probability of stroke is analyzed based on data from Stroke.md system. Selection of features that significantly affect target variable was made. To solve the problem, classification algorithms are used: support vector machines, logistic regression, decision trees, random forest and others; comparison of the resulting mathematical models; preprocessing and building models produced in R-language.
topic mathematical modeling
stroke prediction
data analysis
Stroke.md
url http://www.math.md/files/csjm/v27-n1/v27-n1-(pp73-84).pdf
work_keys_str_mv AT vladimirpopukaylo predictingtheoccurrenceofstrokesusingthelanguager
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