This database contains 12 studies, archived under the term: "algorithms"
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A serum protein-based algorithm for the detection of Alzheimer disease
Objective: To develop an algorithm that separates patients with Alzheimer disease (AD) from controls. Design: Longitudinal case-control study. Setting: The Texas Alzheimer’s Research Consortium project. Patients: We analyzed serum protein-based multiplex biomarker data from 197 patients diagnosed with AD and 203 controls. Main Outcome Measure: The total sample was randomized equally into training and test […]
Combined evaluation of FDG-PET and MRI improves detection and differentiation of dementia
Introduction: Various biomarkers have been reported in recent literature regarding imaging abnormalities in different types of dementia. These biomarkers have helped to significantly improve early detection and also differentiation of various dementia syndromes. In this study, we systematically applied whole-brain and region-of-interest (ROI) based support vector machine classification separately and on combined information from different […]
Comparing registration methods for mapping brain change using tensor-based morphometry
Measures of brain changes can be computed from sequential MRI scans, providing valuable information on disease progression for neuroscientific studies and clinical trials. Tensor-based morphometry (TBM) creates maps of these brain changes, visualizing the 3D profile and rates of tissue growth or atrophy. In this paper, we examine the power of different nonrigid registration models […]
Adaptive cognitive testing in cerebrovascular disease and vascular dementia
Background/aims: To examine whether brevity can be combined with precision in measuring global cognitive ability in patients with cerebrovascular disease (CVD) or vascular dementia (VaD). Longer tests (e.g. the CAMCOG) are precise but inefficient, whereas brief tests (e.g. the MMSE) are efficient but imprecise.; Methods: A simulated computerized adaptive testing (CAT) algorithm using existing CAMCOG […]
Comparison of the memory performance index with standard neuropsychological measures of cognition
The Mild Cognitive Impairment Screen (MCIS) is a computer-based cognitive assessment designed for clinical and research use in detecting amnestic mild cognitive impairment (aMCI). Performance on the MCIS is reported as the Memory Performance Index (MPI). However, the comparability between the MPI and traditional neuropsychological tests in detecting aMCI, and in differentiating it from Alzheimer’s […]