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A Dual Diagnostic Measure driven pragmatic approach for nCOVID-19 Detection by Pervasive Computing
Int. Conf. Adv. Comput. Innov. Technol. Eng., ICACITE ; : 158-164, 2021.
Article in English | Scopus | ID: covidwho-1218993
ABSTRACT
The nCOVID-19 has wreaked our normal lifestyle and has forced us to adopt the protocols under the new normal regime. The conventional diagnostic approach is expected to change in the process as well. Our research group is proposing an aid to such diagnostic approach. The group has proposed in this article the power of using two such diagnostic measures that has been the pivot for many diagnoses to the doctors. The art of using natural language processing based symptomatic measure in combination with a machine learning based approach based on medical vitals can collectively reduce the error percentage of detection. The approach proposed in this article is a first of its kind and the authors have achieved acceptable results on the accuracy front. The other reason of proposing such a technique is the way a fusion algorithm can arrive at the right results from two parallel algorithms doing the same task. Another objective of the group was to provide a valuable opinion to the doctor in form of such an architecture. The proposed architecture can be used at any point of care facilities without any requirement of escalation of the existing amenities. © 2021 IEEE.

Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Int. Conf. Adv. Comput. Innov. Technol. Eng., ICACITE Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Int. Conf. Adv. Comput. Innov. Technol. Eng., ICACITE Year: 2021 Document Type: Article