Model-based clustering for assessing the prognostic value of imaging biomarkers and mixed type tests.

ABSTRACT: A model-based clustering method is proposed to address two research aims in Alzheimer's disease (AD): to evaluate the accuracy of imaging biomarkers in AD prognosis, and to integrate biomarker information and standard clinical test results into the diagnoses. One challenge in such biomarker studies is that it is often desired or necessary to conduct the evaluation without relying on clinical diagnoses or some other standard references. This is because (1) biomarkers may provide prognostic information long before any standard reference can be acquired; (2) these references are often based on or provide unfair advantage to standard tests. Therefore, they can mask the prognostic value of a useful biomarker, especially when the biomarker is much more accurate than the standard tests. In additi

SUBMITTER: Wang Z 

PROVIDER: S-EPMC5613685 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature