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.