Patent ID: 8510245

Claim:
A method for determining a patient-specific probability of transplant glomerulopathy, said method including: collecting clinical parameters from a plurality of patients to create a training database, the clinical parameters including biomarker levels from biopsy tissue; creating a fully unsupervised Bayesian Belief Network model using data from the training database; validating the fully unsupervised Bayesian Belief Network model; collecting the clinical parameters for an individual patient; receiving the clinical parameters for the individual patient into the fully unsupervised Bayesian Belief Network model; outputting the patient-specific probability of transplant glomerulopathy from the fully unsupervised Bayesian Belief Network model to a graphical user interface for use by a clinician; and updating the fully unsupervised Bayesian Belief Network model using the clinical parameters for the individual patient and the patient-specific probability of transplant glomerulopathy.