Discriminant analysis for classification and forecasting outcomes of the treatment

The aim of the work was to develop a classification method for patients underwent hyperbaric oxygenation procedure and to build up a relevant mathematical model of evaluation and forecasting the patient condition during each session and the whole therapy course. This classification method supposed to be based on the effectiveness of the treatment. The group of 161 patients was observed. For each patient, cardiac physiological parameters were registered during each hyperbaric oxygenation session via continuous computer monitoring system. The discriminant analysis was applied to obtained data. In the model developed, the rate of success in test sample classification achieved 75%. The classification technique based on statistical inference and expert estimates was developed.