| 摘要 |
The present invention provides a novel and sensitive means of monitoring Alzheimer's disease. The method consists of the construction of statistically relevant multi-analyte panels, through the use of shrunken centroids (SC), simulated annealing algorithm (SAA) and genetic algorithm (GA) within the framework of linear discriminant analysis (LDA) or through the use of random forest (RF) analysis of individual biomarkers, to more accurately and objectively assess the status of an individual for the purposes of disease classification and predicting cognitive endpoints such as MMSE, CAMCOG, or Learning Memory, a subscore of CAMCOG.
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| 申请人 |
MERCK & CO., INC.;DEVANARAYAN, VISWANATH;MODUR, VIJAY;SEEBURGER, JEFFREY, L.;ROMANO, GARY, J.;SIMON, ADAM, J.;TANAKA, WESLEY, K.;LATERZA, OMAR |
发明人 |
DEVANARAYAN, VISWANATH;MODUR, VIJAY;SEEBURGER, JEFFREY, L.;ROMANO, GARY, J.;SIMON, ADAM, J.;TANAKA, WESLEY, K.;LATERZA, OMAR |
