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Annas, S; Aswi, A; Abdy, M; Poerwanto, B
Journal of physics. Conference series, 11/2021, Letnik: 2123, Številka: 1Journal Article
Abstract This study aims to determine the factors that significantly affect the classification of stroke. The response variable used is the type of stroke, namely non-hemorrhagic stroke and hemorrhagic stroke. The predictors used were cholesterol level, blood sugar level, temperature, length of stay, pulse rate, and gender. By using logistic regression, the results obtained modeling accuracy of 74.8% where the predictors that have a significant effect (alpha <0.05) are total cholesterol and length of stay.
