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@article{151966,
        author = {Prateek Nayak and Shruti Jain and Shruti Katiyar and Shubham Agarwal and Harshita Bhardwaj},
        title = {Predictive Analysis of Corona Virus Using CNNs},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {2},
        pages = {57-61},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=151966},
        abstract = {Corona Virus has plunged the world into a "crisis like no other". Covid-19 has threatened the entire world. For the health services providers, it became a challenge to check whether a person is affected by virus in the fast way. But, an early diagnosis of COVID-19 patients is indispensable to prevent the spread of the disease to others. The objective of this briefing is to develop an efficient decision support system to predict the possibility of Covid-19 virus in a patient using the techniques of Machine Learning. Machine Learning is used to discover patterns in the data, detect and analyze trends and then make predictions with the help of algorithms. It provides methods, techniques and tools that can help in solving diagnostic problems in a variety of medical domains. It offers a principled approach for developing sophisticated, automatic, and objective algorithms for biomedical data.The purpose of this study is to achieve an accurate model to predict whether the particular case is corona positive or negative through the utilization of CNN algorithm of machine learning using the Chest X-ray data of the patients.},
        keywords = {Machine Learning, Convolutional Neural Networks (CNN), Corona Virus, Covid-19.},
        month = {},
        }