Artificial Intelligence Approach to Reduce PCR Tests
نویسندگان
چکیده
Nowadays, the Covid-19 crisis is biggest global challenge to control. All scientists have been working during last two years find solutions for this in numerous ways. Therefore, identifying a person having Covid-19, before entering public places and mainly hospitals timely need reduce transmission of virus. Polymerase chain reaction (PCR) test primary diagnostic tool used identify patients. However, due vast number patients, demand PCR assays cannot be met. This research study was primarily concerned with eliminating testing certain extent through intelligent approaches. paper discusses model using computer vision-based approaches detecting Covid-19. The automated technique, which based on questionnaire eye color scanning, performed artificial intelligence-based image processing. device capable recognizing patients they enter into or locations. CNN developed an open-source data set provided by world health organization (WHO). result demonstrates 89% accuracy, concluding that system indicates excellent prediction performance diagnosis.
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ژورنال
عنوان ژورنال: Engineer
سال: 2023
ISSN: ['1800-1122', '2550-3219']
DOI: https://doi.org/10.4038/engineer.v56i1.7569