COMPASS: A computational model to predict changes in MMSE scores 24-months after initial assessment of Alzheimer's disease.

ABSTRACT: We present COMPASS, a COmputational Model to Predict the development of Alzheimer's diSease Spectrum, to model Alzheimer's disease (AD) progression. This was the best-performing method in recent crowdsourcing benchmark study, DREAM Alzheimer's Disease Big Data challenge to predict changes in Mini-Mental State Examination (MMSE) scores over 24-months using standardized data. In the present study, we conducted three additional analyses beyond the DREAM challenge question to improve the clinical contribution of our approach, including: (1) adding pre-validated baseline cognitive composite scores of ADNI-MEM and ADNI-EF, (2) identifying subjects with significant declines in MMSE scores, and (3) incorporating SNPs of top 10 genes connected to APOE identified from functional-relationship network

SUBMITTER: Zhu F 

PROVIDER: S-EPMC5050516 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature