Predicting The Risk Of Getting A Stroke Using A Machine Learning Tool

Material Information

Title:
Predicting The Risk Of Getting A Stroke Using A Machine Learning Tool
Creator:
Agyapong, Mark
Publisher:
SUNY Oswego
Publication Date:
Copyright Date:
2023
Language:
English

Notes

Abstract:
Stroke has caused a significant number of deaths and chronic illnesses, resulting in substantial government spending. This project aims to determine the risk factors associated with stroke using Machine Learning algorithms such as Support Vector Machine, Decision Tree, Naive Bayes, and Linear Regression to identify the attributes that have the strongest and weakest connection with stroke.
Acquisition:
Collected for SUNY Oswego Institutional Repository by the online self-submittal tool. Submitted by Zach Vickery.

Record Information

Source Institution:
SUNY Oswego Institutional Repository
Holding Location:
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Rights Management:
This item is licensed with the Creative Commons Attribution Non-Commerical License. This license lets others remix, tweak, and build upon this work non-commercially, and although their new works must also acknowledge the author and be non-commercial, they don’t have to license their derivative works on the same terms.

OswegoDL Membership

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