Prediction and Analysis of Covid-19 with various Machine Learning algorithms
Keywords:
Covid-19, Machine Learning, Pneumonia, ConvNet, CNN, Deep LearningAbstract
The world was stuck by a deadly virus last year, which stopped the world and changed it completely. The virus was given the name “Corona.” It has had an everlasting effect on human lives which has caused a lot of people to study about it, following the trend we have chosen “Prediction and analysis of Covid - 19 with different ML algorithms and comparative analysis” as the title of this paper. The title of the paper is self-explanatory to explain what the paper is about and what technology will be used in the paper. The paper will use data cleaning and plotting techniques to analyse the impact and effect of Covid on human lives and various algorithms to predict how vulnerable the person is to the virus / predict whether a person suffered from Covid or not based on various parameters. The main ingredient of the paper will be the data on which the model will be built, will be collected through various Google forms or through open source data websites such as Kaggle. The paper would be divided into various parts, which will include data collection, data cleaning, data plotting etc. After cleaning of data and building of models using various ML algorithms, findings will be reported in a form of report using various plots to favour the findings of the various models.
References
Rong-Hui Du, Li-Rong Liang, Cheng-Qing Yang, Wen Wang, Tan-Ze Cao, Ming Li, GuangYun Guo, Juan Du, Chun- Lan Zheng, Qi Zhu, Ming Hu, Xu-Yan Li, Peng Peng, Huan-Zhong Shi (2020) “Predictors of Mortality for Patients with COVID-19 Pneumonia Caused by SARS-CoV-2: A Prospective Cohort Study” Vol 57 Issue 4
Rabindra Lamsal. "Design and analysis of a large-scale COVID-19 tweets dataset", Applied Intelligence, 2020
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Lessons from Selected Countries of the Global South.” Development, 2020
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towardsdatascience.com
www.cse.unr.edu
erj.erjournals.com
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