Machine learning predicts who will decline faster in Alzheimer’s disease using routine clinic data

Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in Alzheimer’s disease and mild cognitive impairment using routinely collected clinical data. The cognitive model demonstrated external validation in ADNI, showing that individualized progression forecasting is feasible without biomarkers or neuroimaging.