Practical algorithms for amyloid β probability in subjective or mild cognitive impairment.

ABSTRACT:

Introduction

Practical algorithms predicting the probability of amyloid pathology among patients with subjective cognitive decline or mild cognitive impairment may help clinical decisions regarding confirmatory biomarker testing for Alzheimer's disease.

Methods

Algorithm feature selection was conducted with Alzheimer's Disease Neuroimaging Initiative and Australian Imaging, Biomarkers and Lifestyle Flagship Study of Ageing data. Probability algorithms were developed in Alzheimer's Disease Neuroimaging Initiative using nested cross-validation accompanied by stratified subsampling to obtain 1000 internally validated decision trees. Semi-independent validation was conducted using Australian Imaging, Biomarkers and Lifestyle Flagship Study of Ageing. Independent external validat

SUBMITTER: Maserejian N 

PROVIDER: S-EPMC6827360 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature