Institutul de Matematică şi Informatică "Vladimir Andrunachievici"
Universitatea de Stat din MoldovaRO EN
Predicting the occurrence of strokes using the language R
Authors: V. Popukaylo
Keywords: mathematical modeling, stroke prediction, data analysis, Stroke.md
– 0.14 Mb
Keywords: mathematical modeling, stroke prediction, data analysis, Stroke.md
Abstract
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.Vladimir Andrunakievich Institute of Mathematics and Computer Science
T.G. Shevchenko Transnistrian State University
Moldova, Tiraspol, str. Vosstania 2a, cab. 311B
Phone: +37377844001
E-mail:
T.G. Shevchenko Transnistrian State University
Moldova, Tiraspol, str. Vosstania 2a, cab. 311B
Phone: +37377844001
E-mail:
Fulltext
– 0.14 Mb
Contents
- Graphs with Large Hop Roman Domination Number
- Connected Dominating Sets and a New Graph Invariant
- Error correcting codes from sub-exceeding functions
- Post-quantum public key-agreement scheme based on a new form of the hidden logarithm problem
- Predicting the occurrence of strokes using the language R
- The impact of parameter optimization of ensemble learning on defect prediction
