Using Machine Learning Models To Investigate The Relationship Between Corporeal Workload And Clinical And Epidemiological Features Of Patients Infected With COVID-19 In Egypt.

Objectives: To explore if clinical and epidemiological features of patients positive for coronavirus disease-2019 are affected by somatic work stress.

Method: The retrospective study was conducted at Kafrelsheik University Hospital, Egypt, and comprised data of patients admitted between April 1, to June 6, 2020, with confirmed coronavirus disease-2019 infection. Health records of healthy subjects who had come to the hospital as part of their routine check-up were also included for comparison, and the researchers were blinded during the gathering and analysis phase.