Bayesian clinical decision model for determining probability of transplant glomerulopathy

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United States of America Patent

PATENT NO 8510245
APP PUB NO 20110289036A1
SERIAL NO

13083184

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Abstract

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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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Patent Owner(s)

Patent OwnerAddress
THE GOVERNMENT OF THE UNITED STATES AS REPRESENTED BY THE SECRETARY OF THE ARMY101 ARMY PENTAGON WASHINGTON DC 20310

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Brown, Trevor Washington, US 17 156
Davis, Thomas A Oak Hill, US 33 692
Eberhardt,, III John S Washington, US 8 493
Elster, Eric A Kensington, US 11 73
Forsberg, Jonathan Kensington, US 5 79
Hawksworth, Jason Silver Spring, US 5 79
Mannon, Roslyn Birmingham, US 2 18
Stojadinovic, Alexander Chevy Chase, US 4 79
Tadaki, Doug K Frederick, US 5 84

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