Predicting the occurrence of strokes using the language R
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004.891.3:61 (12)
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POPUKAYLO, Vladimir. Predicting the occurrence of strokes using the language R. In: Computer Science Journal of Moldova, 2019, nr. 1(79), pp. 73-84. ISSN 1561-4042.
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Computer Science Journal of Moldova
Numărul 1(79) / 2019 / ISSN 1561-4042 /ISSNe 2587-4330

Predicting the occurrence of strokes using the language R

CZU: 004.891.3:61

Pag. 73-84

Popukaylo Vladimir12
 
1 Vladimir Andrunachievici Institute of Mathematics and Computer Science,
2 T.G. Shevchenko State University of Pridnestrovie, Tiraspol
 
 
Disponibil în IBN: 30 mai 2019


Rezumat

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.

Cuvinte-cheie
Mathematical modeling, stroke prediction, data analysis, Stroke.md