Before revision:  The system achieved an area under the receiver operator curve (AUC) of 66.6\% for cognitive decline class prediction  .
After revision:  The system achieved an area under the receiver operator curve (AUC) of 66.6\% for cognitive decline class prediction . Conclusion: To our knowledge, this is the first study that predicts slowly deteriorating/stable or rapidly deteriorating classes by processing routinely collected baseline clinical and demographic data (Baseline MRI, Baseline MMSE, Scalar Volumetric data, Age, Gender, Education, Ethnicity, and Race). The training data is built based on MMSE-rate values. Unlike the studies in the literature that focus on predicting Mild Cognitive Impairment-to-Alzheimer`s disease conversion and disease classification, we approach the problem as an early prediction of cognitive decline rate in MCI patients .