Analyzing Stress in Doctors during COVID-19: A Machine Learning Approach

Doctors are under stress in their professional life as the life of another person is involved in their diseases management, more so in the present with increasing violence by the patient attendants in India. Over that this COVID pandemic worsen the stress situation to the doctors across the world. The objective of the present study is to study the stress factors among doctors during this COVID-19 era and the influence of these factors using the Machine learning approach. We adapted a machine learning approach to detect this severity of the stress, so that proper advice can be given these doctors before they face serious consequences of the stress. This machine learning algorithm, component of Artificial intelligence, applied in 1069 doctors and found that Anxiety, fear to treat, Afraid to go home (fear of infecting others, especially elders/children), age, and experience to be the significant variable of COVID stress among doctors.