DOIONLINE 
DOIONLINE Publish In |
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN |
 Journal Home Volume Issue |
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Issue |
Volume-12,Issue-7 ( Jul, 2024 ) | |||||||||
Paper Title |
Covid-19 Detection System Using Deep Learning | |||||||||
Author Name |
Aniket Kumar Patel, Abhinav Singh, Anshuman Shukla, Archana Das | |||||||||
Affilition |
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Pages |
43-48 | |||||||||
Abstract |
Artificial Intelligence plays a crucial role in the accurate identification and diagnosis of diseases. With the advancement in Machine learning and computing power, a Disease Detection System is a system which can assert a possibility of multiple diseases based on images and data provided. The major challenges in the medical field can be solved and help for fast, accurate and automated disease detection systems. Machine learning refers to the process of training a system to learn from previous experiences in order to enhance prediction. In this study, prediction algorithms and models such as Random Forest, Support Vector Machine, CNN, XGBoost, VGG, RESNET, DENSENET, and many others are tested and their performance is described in terms of error and accuracy level. Keywords - CNN, XGBoost, VGG, Random Forest, DENSENET, Support Vector Machine, VGG, RES | |||||||||
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