An online COVID-19 self-assessment framework supported by IoMT technology
نویسندگان
چکیده
Abstract As COVID-19 pandemic continued to propagate, millions of lives are currently at risk especially elderly, people with chronic conditions and pregnant women. Iraq is one the countries affected by pandemic. Currently, in Iraq, there a need for self-assessment tool be available hand concerns. Such would guide people, after an automated assessment, right decision such as seeking medical advice, self-isolate, or testing COVID-19. This study proposes online supported internet things (IoMT) technology means fight this mitigate burden on our nation’s healthcare system. Advances IoMT allow us connect all tools, databases, devices via collaborative network, which conveys real-time data integration analysis. Our framework-driven will capture signs symptoms through multiple probing questions, storing patient database, then analyze determine whether person needs tested other actions may require taken. Further this, collected can integrated analyzed collaboratively developing national health policy help manage resources more efficiently. The has big potential prevent system from being overwhelmed using collection, analysis, management concerns, plus providing proper guidance course action.
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ژورنال
عنوان ژورنال: Journal of intelligent systems
سال: 2021
ISSN: ['2191-026X', '0334-1860']
DOI: https://doi.org/10.1515/jisys-2021-0048