Using Fuzzy Logic to Diagnose Blood Pressure

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dc.cclicenceN/Aen
dc.contributor.authorKhuman, A. S.
dc.contributor.authorMitchell, Natalie
dc.contributor.authorMulholland, Tia
dc.date.acceptance2021-10-24
dc.date.accessioned2022-11-08T11:05:56Z
dc.date.available2022-11-08T11:05:56Z
dc.date.issued2022-10-26
dc.description.abstractThis publication documents the research, creation, testing, and critical evaluation of a Fuzzy Inference System (FIS) used to return whether patients have a healthy blood pressure which may aid in prevention of Cardiovascular Disease (CVD). The system aforementioned will utilise public health statistics in order to attempt production of crisp values, those of which point to the likelihood of a patient’s blood pressure level. The FIS will take into account those who are aware of their blood pressure value but uncertain of what this means, providing the crisp output and being used to therefore aid them in future steps; and will also contain a more fuzzy logic-oriented calculation regarding the person’s lifestyle.en
dc.funderNo external funderen
dc.identifier.citationMitchell, N., Mulholland, T., Khuman, A.S. (2022). Using Fuzzy Logic to Diagnose Blood Pressure. In: Chen, T., Carter, J., Mahmud, M., Khuman, A.S. (eds) Artificial Intelligence in Healthcare. Brain Informatics and Health. Springer, Singapore. pp. 231-247en
dc.identifier.doihttps://doi.org/10.1007/978-981-19-5272-2_12
dc.identifier.isbn9789811952722
dc.identifier.isbn9789811952715
dc.identifier.urihttps://hdl.handle.net/2086/22288
dc.language.isoenen
dc.peerreviewedYesen
dc.publisherSpringeren
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en
dc.subjectArtificial Intelligenceen
dc.subjectHealth Careen
dc.titleUsing Fuzzy Logic to Diagnose Blood Pressureen
dc.typeBook chapteren

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