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End-to-End AI-Based Point-of-Care Diagnosis System for Classifying Respiratory Illnesses and Early Detection of COVID-19

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Document pages: 11 pages

Abstract: Respiratory symptoms can be a caused by different underlying conditions, andare often caused by viral infections, such as Influenza-like illnesses or otheremerging viruses like the Coronavirus. These respiratory viruses, often, havecommon symptoms, including coughing, high temperature, congested nose, anddifficulty breathing. However, early diagnosis of the type of the virus, can becrucial, especially in cases such as the recent COVID-19 pandemic. One of thefactors that contributed to the spread of the pandemic, was the late diagnosisor confusing it with regular flu-like symptoms. Science has proved that one ofthe possible differentiators of the underlying causes of these differentrespiratory diseases is coughing, which comes in different types and forms.Therefore, a reliable lab-free tool for early and more accurate diagnosis thatcan differentiate between different respiratory diseases is very much needed.This paper proposes an end-to-end portable system that can record data frompatients with symptom, including coughs (voluntary or involuntary) andtranslate them into health data for diagnosis, and with the aid of machinelearning, classify them into different respiratory illnesses, includingCOVID-19. With the ongoing efforts to stop the spread of the COVID-19 diseaseeverywhere today, and against similar diseases in the future, our proposed lowcost and user-friendly solution can play an important part in the earlydiagnosis.

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