Designing AI Models for Predicting Ischemic Stroke Using Administrative Healthcare Database

2020 International Symposium on Computer, Consumer and Control (IS3C)(2020)

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摘要
Ischemic stroke (IS) is the most common type of stroke, accounting to about 80% of the stroke, and is a major cause of morbidity and mortality worldwide. The risk factors of IS included older age, male gender, high BMI, smoking habit, hypertension, diabetes, hyperlipidemia, etc. Other factors, such as environmental metal exposure and atrial cardiopathy are also found to be risk factors. In this st...
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关键词
Support vector machines,Training,Databases,Medical services,Predictive models,Artificial intelligence,Genetic algorithms
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