PREDICTIVE MACHINE LEARNING (ML) ALGORITHM USING IOT FRAMEWORK FOR NOVEL CORONA VIRUS (COVID-19)

During earlier months of the pandemic COVID-19 with no recommended cure or vaccine available only solution to destroy chain is self-isolation which can be maintained by physical distancing. This now understood that world require much faster accommodate and deal future spread over non-clinical methods namely data mining, augmented intelligence several Artificial Intelligence (AI) techniques. It has become a huge hindrance mitigate for healthcare industry provide more potential involved patient's diagnosis also effective prognosis 2019-CoV pandemic. Therefore, proposed framework implemented Internet Things (IoTs) in collecting symptom real-time beneficial predicting whether person gets infected virus not. done through various signs body temperature, blood oxygen level, headache, coughing patterns, etc. Thus, research work focused on identification infection cases potentially using Machine Learning (ML) algorithm from data. Moreover, obtained results have illustrated K-Nearest Neighbour (KNN) highly efficient while compared other ML algorithms such as Naive Bayes Logistic Regression (LR) possible recovery patients accuracy 96.85%.