IJSSER

Title: A NOVEL MACHINE LEARNING APPROACH TO ACCUMULATE KNOWLEDGE CONCERNING COVID-19 OVER TIME
Authors: John Leddo
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John Leddo John Leddo is the director of research at MyEdmaster
MLA 8 Leddo, John. "A NOVEL MACHINE LEARNING APPROACH TO ACCUMULATE KNOWLEDGE CONCERNING COVID-19 OVER TIME." Int. j. of Social Science and Economic Research, vol. 7, no. 7, July 2022, pp. 2001-2008, doi.org/10.46609/IJSSER.2022.v07i07.018. Accessed July 2022. APA 6 Leddo, J. (2022, July). A NOVEL MACHINE LEARNING APPROACH TO ACCUMULATE KNOWLEDGE CONCERNING COVID-19 OVER TIME. Int. j. of Social Science and Economic Research, 7(7), 2001-2008. Retrieved from https://doi.org/10.46609/IJSSER.2022.v07i07.018 Chicago Leddo, John. "A NOVEL MACHINE LEARNING APPROACH TO ACCUMULATE KNOWLEDGE CONCERNING COVID-19 OVER TIME." Int. j. of Social Science and Economic Research 7, no. 7 (July 2022), 2001-2008. Accessed July, 2022. https://doi.org/10.46609/IJSSER.2022.v07i07.018.
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ABSTRACT: COVID 19, commonly known as coronavirus is a cold-like virus that can spread through droplets from an infected person's coughs, sneezing, and/or breathing. Symptoms of COVID 19 include cough, fatigue, fever, shortness of breath, body aches, headaches, loss of taste and smell, and more. Some severe symptoms include acute pain in the chest area, pale skin, trouble breathing. COVID 19 is said to have originated in Wuhan, China as the first infections were discovered there. Many methods have been developed To give citizens updated statistics on rising issues, providing easy access to global information. Knowledge graphs are one of many ways professionals and regular citizens of the global network get to know the effects of COVID-19 in their society. This is one of many ways the ANNs (Artificial Neural Networks) takes place in promoting the analysis of knowledge graphs to everyone. Part of the ANN includes how a person’s mental physique operates. For example, the input goes through a theoretical process of analysis to give the most accurate output. In this case, the effects of COVID even after students are back to school can be seen as a continuity in the environment. ANNs and general graphs play of great importance in this scenario.

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