Enhancing the Self-Aware Early Warning Score System through Fuzzified Data Reliability Assessment ; Wireless Mobile Communication and Healthcare : 7th International Conference, MobiHealth 2017, Vienna, Austria, November 14–15, 2017, Proceedings
العنوان: | Enhancing the Self-Aware Early Warning Score System through Fuzzified Data Reliability Assessment ; Wireless Mobile Communication and Healthcare : 7th International Conference, MobiHealth 2017, Vienna, Austria, November 14–15, 2017, Proceedings |
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المؤلفون: | Arman Anzanpour, Maximilian Götzinger, Nima TaheriNejad, Iman Azimi, Amir M. Rahman |
المساهمون: | PÄÄT Sulautettu elektroniikka, PÄÄT Embedded Electronics, PÄÄT Terveysteknologia, PÄÄT Health Technology, 2606808, 2606802 |
سنة النشر: | 2022 |
المجموعة: | University of Turku: UTUPub / Turun yliopisto |
الوصف: | Early Warning Score (EWS) systems are a common practice in hospitals. Health-care professionals use them to measure and predict amelioration or deterioration of patients’ health status. However, it is desired to monitor EWS of many patients in everyday settings and outside the hospitals as well. For portable EWS devices, which monitor patients outside a hospital, it is important to have an acceptable level of reliability. In an earlier work, we presented a self-aware modified EWS system that adaptively corrects the EWS in the case of faulty or noisy input data. In this paper, we propose an enhancement of such data reliability validation through deploying a hierarchical agent-based system that classifies data reliability but using Fuzzy logic instead of conventional Boolean values. In our experiments, we demonstrate how our reliability enhancement method can offer a more accurate and more robust EWS monitoring system. |
نوع الوثيقة: | other/unknown material |
اللغة: | English |
ردمك: | 978-3-319-98550-3 978-3-319-98551-0 3-319-98550-7 3-319-98551-5 |
تدمد: | 1867-8211 |
Relation: | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering; 247; International Conference on Wireless Mobile Communication and Healthcare; https://www.utupub.fi/handle/10024/154938; URN:NBN:fi-fe2021042718499 |
الاتاحة: | https://www.utupub.fi/handle/10024/154938 |
رقم الانضمام: | edsbas.E4E6F976 |
قاعدة البيانات: | BASE |
ردمك: | 9783319985503 9783319985510 3319985507 3319985515 |
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تدمد: | 18678211 |