Predicting Stroke from Electronic Health Records
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by
Chidozie Shamrock Nwosu, Soumyabrata Dev, Peru Bhardwaj, Bharadwaj
Veeravalli, Deepu John
2019
Abstract
Studies have identified various risk factors associated with the onset of
stroke in an individual. Data mining techniques have been used to predict the
occurrence of stroke based on these factors by using patients' medical records.
However, there has been limited use of electronic health records to study the
inter-dependency of different risk factors of stroke. In this paper, we perform
an analysis of patients' electronic health records to identify the impact of
risk factors on stroke prediction. We also provide benchmark performance of the
state-of-art machine learning algorithms for predicting stroke using electronic
health records.
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