Crossed analysis of three-variable for early pre-diagnosis of COVID-19

This study presents a new analysis method of physiological variables considered vital for the early diagnosis of COVID-19: Body Temperature, Heart Rate, and Blood Saturation. The applied method was the cross-analysis of variables to obtain triage-type criteria for classifying the individual in one of the three states: Prevention (yellow), Warning (Orange), and Alarm (Red) for each particular case. As a result, an automatic analysis algorithm was developed to support the physician in preventive treatment. It is possible to generate the warning states and classify the situation when making a report according to its condition by validating the results. The algorithms are published on Github to make them available to the scientific community in general and thus solve the early diagnosis.