Before revision:  Our empirical study on the ADNI data yields promising results to identify and prioritize individual-specific cognitive biomarkers as well as cognitive assessment tasks based on the individual's structural MRI data. The resulting top ranked cognitive biomarkers and assessment tasks have the potential to aid personalized diagnosis and disease subtyping  .
After revision:  Our empirical study on the ADNI data yields promising results to identify and prioritize individual-specific cognitive biomarkers . We conduct experiments in cross validation and level-out validation settings. In the two settings, our paradigm significantly outperforms the best baselines with improvement as much as 22.1\% and 19.7\%, respectively, on prioritizing cognitive features. Conclusions: The proposed paradigm achieves superior performance on prioritizing cognitive biomarkers. The top ranked cognitive biomarkers and assessment tasks have the potential to aid personalized diagnosis and disease subtyping .