发明名称 |
Bayesian clinical decision model for determining probability of transplant glomerulopathy |
摘要 |
An embodiment of the invention provides a method for determining a patient-specific probability of transplant glomerulopathy. The method collects clinical parameters from a plurality of patients 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; and, such clinical parameters are input into the fully unsupervised Bayesian Belief Network model via a graphical user interface. The patient-specific probability of transplant glomerulopathy 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 planning. The fully unsupervised Bayesian Belief Network model is updated using the clinical parameters from the individual patient and the patient-specific probability of transplant glomerulopathy.
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申请公布号 |
US8510245(B2) |
申请公布日期 |
2013.08.13 |
申请号 |
US201113083184 |
申请日期 |
2011.04.08 |
申请人 |
STOJADINOVIC ALEXANDER;ELSTER ERIC A.;TADAKI DOUG K.;EBERHARDT, III JOHN S.;BROWN TREVOR;DAVIS THOMAS A.;FORSBERG JONATHAN;HAWKSWORTH JASON;MANNON ROSLYN;THE UNITED STATES OF AMERICA AS REPRESENTED BY THE SECRETARY OF THE ARMY |
发明人 |
STOJADINOVIC ALEXANDER;ELSTER ERIC A.;TADAKI DOUG K.;EBERHARDT, III JOHN S.;BROWN TREVOR;DAVIS THOMAS A.;FORSBERG JONATHAN;HAWKSWORTH JASON;MANNON ROSLYN |
分类号 |
G06N5/00;G06F19/20;G06F19/24;G06F19/28 |
主分类号 |
G06N5/00 |
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