Journal of Physics Conference Series · 2021 · 11 citations · 4 references
ComputingHealth InformaticsInfectious DiseasesEpidemiologyImmunizationMachine LearningDisease ForecastingDisease ModelingEpidemic ForecastingInfectious Disease SurveillancePredictive Health ModelingRisk PredictionDeath CasesDisease Forecasting ModelsDisease Risk PredictionForecasting Disease IncidenceInfectious Disease Risk ModelingLogistic RegressionMachine Learning For DiagnosisPandemic Forecasting
Abstract World is now at a critical condition. Covid-19 is the disease caused by corona virus newly identified [1], the pandemic affecting the human being a lot. As on date the total active cases in India are 3.23 M illion and death cases are 59,449. Many scientists and medical practitioners are working hard to fight against this, in search of proper medicine and vaccine. Research is also going on in the field of machine learning and AI to predict the spread of disease and also in identification of the presence of the virus in human body, which will help the field of medical science. In this paper we have proposed a method to identify whether a patient has risk of COVID-19 using Logistic Regression model, considering multiple symptoms.
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