International Journal of Multidisciplinary Research and Growth Evaluation  |  ISSN (Online): 2582-7138  |  Double-Blind Peer Review  |  Open Access  |  CC BY 4.0

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     2026:7/3

International Journal of Multidisciplinary Research and Growth Evaluation

ISSN (Online): 2582-7138 | Open Access

Investigation study on classification based COVID disease prediction with patient data

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Abstract

Data mining is the process of discovering essential patterns and extraction of large data. The evolution of medical field technology creates the rapid effect in every field. With the development in medical field, predictive analysis has become an essential component for future disease prediction. Early diagnosis is an essential for accurate treatment to minimize the pressure in the health care system. Coronavirus disease (COVID-19) has created the restriction to the public health and considered as the greatest pandemic in the world history. Coronavirus disease in human is an extremely hard task because of their symptoms. Many researchers introduced feature engineering and classification techniques for medical data analytics. However, the true negative rate and time consumption was not focused through existing techniques. In order to address the problems, medical data analytics via feature engineering and classification is performed using machine learning and deep learning techniques.

 

How to Cite This Article

A Mary Theresa, Dr. V Saravanan (2022). Investigation study on classification based COVID disease prediction with patient data . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 3(2), 92-97.

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