Eric A. Elster,Doug Tadaki,Trevor S. Brown,Rahul Jindal
申请号：
US13662456
公开号：
US20160206249A9
申请日:
2012.10.27
申请国别(地区):
US
年份:
2016
代理人:
摘要：
An embodiment of the invention provides a method for determining a patient-specific probability of renal transplant survival. The method collects clinical parameters from a plurality of renal transplant donor and patient to create a training database. A fully unsupervised Bayesian Belief Network model is created using data from the training database and, the fully unsupervised Bayesian Belief Network is validated. Clinical parameters are collected from an individual patient/donor and, such clinical parameters are input into the fully unsupervised Bayesian Belief Network model via a graphical user interface. The patient-specific probability of disease is output from the fully unsupervised Bayesian Belief Network model and sent to the graphical user interface for use by a clinician in pre-operative organ matching. The fully unsupervised Bayesian Belief Network model is updated using the clinical parameters from the individual patient and the patient-specific probability of transplant survival.
