Risk Detection of Heart Disease

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dc.cclicenceN/Aen
dc.contributor.authorKhuman, A. S.
dc.contributor.authorMacakaite, Karina
dc.date.acceptance2021-10-24
dc.date.accessioned2022-11-08T10:42:03Z
dc.date.available2022-11-08T10:42:03Z
dc.date.issued2022-10-24
dc.description.abstractCardio Vascular Disease (CVD) is the leading cause of death worldwide and a significant contributor to the rising cost of health care. Due to the growing patient population, existing healthcare systems are becoming increasingly burdened and unable to effectively manage the increased demand for health care services. The purpose of this paper is to demonstrate the design of a fuzzy logic-based system for a patient’s detection of heart disease risk at home. The system is implemented in the MATLAB software, using the fuzzy logic toolbox. This paper provides the technical description of the system and evaluates its performance. The dataset from the Framingham Heart Study was used for the system’s implementation.en
dc.funderNo external funderen
dc.identifier.citationMacakaite, K., Khuman, A.S. (2022). Risk Detection of Heart Disease. In: Chen, T., Carter, J., Mahmud, M., Khuman, A.S. (eds) Artificial Intelligence in Healthcare. Brain Informatics and Health. Springer, Singapore. pp. 261-274en
dc.identifier.doihttps://doi.org/10.1007/978-981-19-5272-2_14
dc.identifier.isbn9789811952722
dc.identifier.isbn9789811952715
dc.identifier.urihttps://hdl.handle.net/2086/22287
dc.language.isoenen
dc.peerreviewedYesen
dc.publisherSpringeren
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en
dc.subjectArtificial Intelligenceen
dc.subjectHealth Careen
dc.titleRisk Detection of Heart Diseaseen
dc.typeBook chapteren

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