Analysis of Data and Feature Processing on Stroke Prediction using Wide Range Machine Learning Model
Untari Novia Wisesty,
Tjokorda Agung Budi Wirayuda,
Febryanti Sthevanie
et al.
Abstract:Stroke is a disease which cause the death of brain cells, so that the part of the body controlled by the brain loses its function. If not treated immediately, this disease can cause long-term disability, brain damage, and death. In this research, stroke prediction was carried out on the Stroke dataset acquired from the Kaggle dataset using various machine learning models. Then, data sampling techniques are used to handle data imbalance problems in the stroke dataset, which include Random Undersampling, Random … Show more
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