Symptom analysis using fuzzy logic for detection and monitoring of Covid-19 patients

• المؤلفون الرئيسيون: Tayyaba Ilyas, Danish Mahmood, Ghufran Ahmed, Adnan Akhunzada
• التنسيق: مقال
• اللغة: English; English
• منشور في: Multidisciplinary Digital Publishing Institute (MDPI) 2021
• الموضوعات: R856-857 Biomedical engineering. Electronics. Instrumentation
• الوصول للمادة أونلاين: https://eprints.ums.edu.my/id/eprint/33101/1/Symptom%20analysis%20using%20fuzzy%20logic%20for%20detection%20and%20monitoring%20of%20Covid-19%20patients%20_ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/33101/2/Symptom%20analysis%20using%20fuzzy%20logic%20for%20detection%20and%20monitoring%20of%20Covid-19%20patients.pdf; https://eprints.ums.edu.my/id/eprint/33101/; https://www.mdpi.com/1996-1073/14/21/7023/htm; https://doi.org/10.3390/en14217023
• المؤسسة: Universiti Malaysia Sabah

Recent developments regarding the Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning (ML) opened new horizons of healthcare opportunities. Moreover, these technological advancements give strength to face upcoming healthcare challenges. One of such challenges is the advent o...