Data processing: artificial intelligence – Knowledge processing system – Knowledge representation and reasoning technique
Reexamination Certificate
2011-08-30
2011-08-30
Starks, Jr., Wilbert L. (Department: 2122)
Data processing: artificial intelligence
Knowledge processing system
Knowledge representation and reasoning technique
Reexamination Certificate
active
08010476
ABSTRACT:
A method for predicting survival rates of medical patients includes providing a set D of survival data for a plurality of medical patients, providing a regression model having an associated parameter vector β, providing an example x0of a medical patient whose survival probability is to be classified, calculating a parameter vector {circumflex over (β)} that maximizes a log-likelihood function of β over the set of survival data, l(β|D), wherein the log likelihood l(β|D) is a strictly concave function of β and is a function of the scalar xβ, calculating a weight w0for example x0, calculating an updated parameter vector β* that maximizes a function l(β|D∪{(y0,x0,w0)}), wherein data points (y0,x0,w0) augment set D, calculating a fair log likelihood ratio λffrom {circumflex over (β)} and β* using λf=λ(β*|x0)+sign(λ({circumflex over (β)}|x0)){l({circumflex over (β)}|D)−l(β*|D)}, and mapping the fair log likelihood ratio λfto a fair price y0f, wherein said fair price is a probability that class label y0for example x0has a value of 1.
REFERENCES:
patent: 2003/0041042 (2003-02-01), Cohen et al.
patent: 2006/0234233 (2006-10-01), Bruce et al.
Hammit, James, Kevin Haniger and Nicolas Treich. “The Effects of Health and Longevity on Risk Tolerance”Harvard Center for Risk Analysis Nov. 2005 [Online] Downloaded Apr. 7, 2011. http://lem.icl-lille.fr/Portals/2/seminaire/DPHammitt.pdf.
Hey, John and Chris Orme. “Investigating Gneralizations of Expected Utility Theory using Experimental Data” Econometrica, vol. 62 No. Nov. 6, 1994. p. 1291-1326. [Online] Downloaded Apr. 7, 2011. http://www.jstor.org/stable/pdfplus/2951750.pdf?acceptTC=true.
Giang, “A new axiomatization for likelihood gambles”, 2006, Uncertainty in Artificial Intelligence: Proceedings of the 22ndConference (UAI-2006), Corvallis, OR, AUAI Press, pp. 192-199.
Giang et al., “Statistical decisions using likelihood information without prior probabilities”, 2002, Uncertainty in Artificial Intelligence: Proceedings of the Eighteenth Conference (UAI-2002), San Francisco, CA, Morgan Kaufmann, pp. 170-178.
Giang et al., “Decision making on the sole basis of statistical likelihood”, 2005, Artificial Intelligence, 165, pp. 137-163.
Kaiserman et al., “Forecasting the Prognosis of Choroidal Melanoma with an Artificial Neural Network”, Ophthalmology, J.B. Lippincott Col, Philadelphia, PA, vol. 112, No. 9, Sep. 1, 2005.
Giang et al., “A new axiomatization for likelihood gambles”, Proceedings of the 22nd Annual Conference on Uncertainty in Artificial Intelligence, AUAI Press, 2006, pp. 192-199.
Fung et al., “Improving medical predictive models via Likelihood Gamble Pricing”, Proceedings of the ICML/UAI/COLT Workshop on Machine Learning for Health-Care-Applications, 2008, pp. 1-6.
International Search Report including Notification of Transmittal of the International Search Report, International Search Report, and Written Opinion of the International Searching Authority, May 2, 2009.
Fung Glenn
Giang Phan Hong
Rao R. Bharat
Steck Harald
Rifkin Ben M
Ryan Joshua B.
Siemens Medical Solutions USA , Inc.
Starks, Jr. Wilbert L.
LandOfFree
System and method for medical predictive models using... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with System and method for medical predictive models using..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and System and method for medical predictive models using... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-2732611