Objective
This study intends to estimate and formulate presence of thoracic CT
involvement, extent of such involvement and intensive care need on the
basis of patient laboratory data to contribute to the process of
diagnosing and treating the disease. At the stage of formulation, the
J48 Decision Tree classification and Linear Regression methods were used
on the WEKA software. The codes implemented in the Python programming
language were used at the estimation, classification and testing
stages.