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dc.contributor.authorHo, Bryan En Haoen_US
dc.identifier.citationHo, B. E. H. (2022). Prediction of cardiovascular disease for the elderly. Final Year Project (FYP), Nanyang Technological University, Singapore.
dc.description.abstractCardiovascular disease is the number one cause of death across the globe. With over 17 million people's deaths caused by cardiovascular diseases in 2019 alone. This represents about 32% of all global deaths [1]. Coupled with the increasing cost of health care services, the need for costly yearly health checks is not always accessible to everyone. Hence, the lack of less invasive and cost-effective health monitoring measures is a call for concern. This report is the report for the Final Year Project, “Prediction of Cardiovascular Disease for the Elderly”. The purpose of this report is to document the project progression, achievements and problems faced up to date and possible future studies. This report is 40 pages, excluding cover pages, abstract, and references. This project aims to create a means of cost-effective health monitoring for the elderly’s cardiovascular health and utilize neural network algorithms to predict their chance of cardiovascular disease.en_US
dc.publisherNanyang Technological Universityen_US
dc.subjectEngineering::Computer science and engineering::Computing methodologiesen_US
dc.subjectEngineering::Electrical and electronic engineering::Computer hardware, software and systemsen_US
dc.titlePrediction of cardiovascular disease for the elderlyen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorSoh Yeng Chaien_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineering (Electrical and Electronic Engineering)en_US
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Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
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