An adaptive genetic algorithm for selection of blood-based biomarkers for prediction of Alzheimer's disease progression

Abstract

The AGA has proven useful in selecting the best combination of biomarkers for prediction of AD progression. The algorithm presented here is generic and can be extended to other data sets generated in projects that seek to identify combination of biomarkers or other features that are predictive of disease onset or progression.