Classification of Respiratory Diseases Using the NAO Robot

This work proposes an interface that connects the NAO robot with a development environment in Azure Machine Learning Classic for the prediction of respiratory diseases. The developed code uses Machine Learning algorithms trained for the prediction of diseases and fatal symptoms in order to provide the user with a scope of his health status and the possible conditions associated with his age, sex, symptoms and severity. During this process, a brief discard of COVID-19 is made with the symptoms obtained, which indicates if they cor-respond to those of this disease. Additionally, we offer a friendly interaction with the NAO robot to facilitate the exchange of information and. at the end of the algorithm flow, it is always suggested to use a professional doctor to provide users with more details about their current status based on the overall results obtained. The tests carried out on the work show that it is possible to speed up the time of care in medical care centers in Peru through the Nao Robot. Additionally, it has been possible to predict respiratory diseases, which also helps the doctor to have a notion of the patient prognosis.