Interpretable heart disease detection model for IoT-enabled WBAN systems
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Date
Authors
Olatinwo, Damilola D.
Abu-Mahfouz, Adnan Mohammed
Hancke, Gerhard P.
Myburgh, Hermanus Carel
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers
Abstract
Description
Keywords
Heart, Diseases, Computational modeling, Accuracy, Data models, Sensors, Predictive models, Support vector machines (SVM), Feature extraction, Databases, Health technology assessment (HTA), Healthcare monitoring, Heart disease detection, Internet of Things (IoT), Interpretable heart condition, Wireless body area network (WBAN), SDG-03: Good health and well-being, SDG-09: Industry, innovation and infrastructure
Sustainable Development Goals
SDG-03:Good heatlh and well-being
SDG-09: Industry, innovation and infrastructure
SDG-09: Industry, innovation and infrastructure
Citation
D.D. Olatinwo, A.M. Abu-Mahfouz, G.P. Hancke and H.C. Myburgh, "Interpretable Heart Disease Detection Model for IoT-Enabled WBAN Systems," in IEEE Sensors Journal, vol. 25, no. 3, pp. 5457-5469, 1 Feb.1, 2025, doi: 10.1109/JSEN.2024.3520866.