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Fig. 6 | BMC Pulmonary Medicine

Fig. 6

From: A clinical data-driven machine learning approach for predicting the effectiveness of piperacillin-tazobactam in treating lower respiratory tract infections

Fig. 6

Web-based implementation of the prediction model for TZP treatment effectiveness. (a) Screenshot of the web interface showing a successful treatment prediction case. The system displays input fields for 13 clinical parameters and provides a “Success” prediction with corresponding treatment recommendation. (b) Screenshot of the web interface showing a failed treatment prediction case. The same interface predicts treatment failure based on different clinical parameter values, with appropriate recommendations against PIPT treatment

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