An Imbalanced-Data Processing Algorithm for the Prediction of Heart Attack in Stroke Patients

Early predicting heart attack out of stroke patients in a view of data analysis is an approach to reduce a high mortality rate. Stroke-patient data in Intensive Care Unit are imbalanced due to that stroke patients with heart attack are in the minority of stroke patients. How to predict heart attack...

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Vydané v:	IEEE access Ročník 9; s. 25394 - 25404
Hlavní autori:	Wang, Meng, Yao, Xinghua, Chen, Yixiang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Cardiac arrest Classifiers Clustering Clustering algorithms Data analysis Data processing Feature extraction Heart heart attack Heart attacks imbalanced data Intensive care Machine learning Oversampling Patients Performance prediction Prediction algorithms Predictive models Stroke Stroke (medical condition) Undersampling
ISSN:	2169-3536, 2169-3536
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