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005        20230628094105.0
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245 00 |a Predicting The Risk Of Getting A Stroke Using A Machine Learning Tool |h [electronic resource].
260        |a [S.l.] : |b SUNY Oswego, |c 2023.
506        |a [cc by-nc] 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.
520 3    |a 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.
533        |a Electronic reproduction. |c SUNY Oswego Institutional Repository, |d 2023. |f (Oswego Digital Library) |n Mode of access: World Wide Web. |n System requirements: Internet connectivity; Web browser software.
535 1    |a Added automatically.
541        |a Collected for SUNY Oswego Institutional Repository by the online self-submittal tool. Submitted by Zach Vickery.
650        |a Biomedical and Health Informatics.
650        |a Quest 2023.
650        |a Poster.
720 1    |a Agyapong, Mark.
830    0 |a Oswego Digital Library.
830    0 |a Quest.
852        |a OswegoDL |c Quest
856 40 |u https://digitallibrary.oswego.edu/AA00000388/00001 |y Electronic Resource
992 04 |a https:/digitallibrary.oswego.edu/content/AA/00/00/03/88/00001/Mark Agyapong - FINAL POSTER - Mark Agyapongthm.jpg
997        |a Quest


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