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| dc.contributor.author | Olatinwo, Damilola D.
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| dc.contributor.author | Abu-Mahfouz, Adnan Mohammed
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| dc.contributor.author | Hancke, Gerhard P.
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| dc.contributor.author | Myburgh, Hermanus Carel
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| dc.date.accessioned | 2025-02-28T11:17:50Z | |
| dc.date.available | 2025-02-28T11:17:50Z | |
| dc.date.issued | 2025-02 | |
| dc.description.department | Electrical, Electronic and Computer Engineering | en_US |
| dc.description.librarian | hj2024 | en_US |
| dc.description.sdg | SDG-03:Good heatlh and well-being | en_US |
| dc.description.sdg | SDG-09: Industry, innovation and infrastructure | en_US |
| dc.description.uri | https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7361 | en_US |
| dc.identifier.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. | en_US |
| dc.identifier.issn | 1530-437X (print) | |
| dc.identifier.issn | 1558-1748 (online) | |
| dc.identifier.other | 10.1109/JSEN.2024.3520866 | |
| dc.identifier.uri | http://hdl.handle.net/2263/101284 | |
| dc.language.iso | en | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
| dc.rights | © 2024 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. | en_US |
| dc.subject | Heart | en_US |
| dc.subject | Diseases | en_US |
| dc.subject | Computational modeling | en_US |
| dc.subject | Accuracy | en_US |
| dc.subject | Data models | en_US |
| dc.subject | Sensors | en_US |
| dc.subject | Predictive models | en_US |
| dc.subject | Support vector machines (SVM) | en_US |
| dc.subject | Feature extraction | en_US |
| dc.subject | Databases | en_US |
| dc.subject | Health technology assessment (HTA) | en_US |
| dc.subject | Healthcare monitoring | en_US |
| dc.subject | Heart disease detection | en_US |
| dc.subject | Internet of Things (IoT) | en_US |
| dc.subject | Interpretable heart condition | en_US |
| dc.subject | Wireless body area network (WBAN) | en_US |
| dc.subject | SDG-03: Good health and well-being | en_US |
| dc.subject | SDG-09: Industry, innovation and infrastructure | en_US |
| dc.title | Interpretable heart disease detection model for IoT-enabled WBAN systems | en_US |
| dc.type | Postprint Article | en_US |
