Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/150908
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dc.contributor.authorNg, Lee Koonen_US
dc.date.accessioned2021-06-09T09:32:56Z-
dc.date.available2021-06-09T09:32:56Z-
dc.date.issued2021-
dc.identifier.citationNg, L. K. (2021). Developing index for stroke risk. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/150908en_US
dc.identifier.urihttps://hdl.handle.net/10356/150908-
dc.description.abstractThe stroke risk scoring model is a powerful tool to predict the risk of stroke. It can determine the specific treatment and measure and predicts the outcome. Several scoring systems make use of different risk factors. The risk factor includes in this study comprised of Age, BMI, Cholesterol Ratio, HBA1c, Systolic Pressure, Pulse Pressure, Smoking, Alcohol, and Atrial Fibrillation. The objective of this FYP is to formulate a stroke risk scoring model based on various research papers and to test out the model using real-time data. The model can then be compared with an established model such as Framingham Stroke risk(FSRS), ATRIA, and CHADS2. All of the 10-risk factors are proven to have a positive correlation to the increase of stroke risk. With a base scoring model, more risk factors can be added to the model. With a strong link established between PWV and stroke risk, a recommendation for PWV to be added to the model for further study.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.relationB056en_US
dc.subjectEngineering::Mechanical engineeringen_US
dc.titleDeveloping index for stroke risken_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorYeo Joon Hocken_US
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.description.degreeBachelor of Engineering (Mechanical Engineering)en_US
dc.contributor.supervisoremailmjhyeo@ntu.edu.sgen_US
item.grantfulltextrestricted-
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Appears in Collections:MAE Student Reports (FYP/IA/PA/PI)
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