Machine Learning Performance Analysis to Predict Stroke Based on Imbalanced Medical Dataset. (arXiv:2211.07652v1 [cs.LG])

Cerebral stroke, the second most substantial cause of death universally, has
been a primary public health concern over the last few years. With the help of
machine learning techniques, early detection of various stroke alerts is
accessible, which can efficiently prevent or diminish the stroke. Medical
dataset, however, are frequently unbalanced in their class label, with a
tendency to poorly predict minority classes. In this paper, the potential risk
factors for stroke are investigated. Moreover, four distinctive approaches are
applied …

analysis arxiv dataset machine machine learning medical performance performance analysis stroke