Predicted Infectious Disease (Corona Virus) using Data Mining and Machine Learning Algorithms Approaches

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Manoj Kumar Singh, Dr. Kishan Pal Singh, Dr. Navin Kumar Tyagi


This Article's Abstract Corona disease prevention is a key difficulty in medicine, which focuses on diagnosis and treatment. Antimicrobial drugs, antibiotic resistance, immunization, and other reasons must all be understood in infectious disease medicine, which necessitates a detailed understanding of the prevalence and clinical presentation of infectious, viral, fungal, and parasitic illnesses. Immunomodulatory They are more equipped to deal with the factors that predispose people to infection and the core ideas of epidemiology and disseminating the disease. Most infectious disease experts are consultants to other doctors, meet patients in their office or hospital for advice, and may even longitudinally follow patients with particular disorders for therapy. The primary goal of this research is to create a rapid disease-type prediction tool for medical professionals, which will aid in clinical decision-making. E-healthcare applications using advanced data mining and machine learning methods are garnering interest from researchers in an effort to develop intelligent healthcare systems. Smart e-healthcare tools may be developed using Android's low cost and user-friendly interface. Monitoring and diagnosing patient health may also be done online. Early and accurate diagnosis may reduce mortality rates, and this e-healthcare application recommends a diet plan based on the patient's specific health profile. Electronic health care is capable of detecting and diagnosing any illness type in a matter of minutes, which will help healthcare providers enhance their services. With the use of data mining, we can establish a reliable baseline for future predictions. The application of data mining tools, on the other hand, may minimize the number of tests performed and help clinicians discover the most successful therapies and procedures. Time and performance are greatly impacted by this decreased test set. Predictive performance is based on a variety of factors that aid in the accurate diagnosis of illness, allowing patients to obtain more effective treatment at lower costs.

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