P4‐212: Predicting Progression From Mild Cognitive Impairment (MCI) to Alzheimer’s Disease Using Perfusion Brain Spect Imaging Analysis of The Initial Hospital Visit

[.58,.61,.06] outperforms the other three models: LR [.53,.51,.07], SVM: [.54,.55,.08], and RF:[.52,.54,.10]. Significant improvement is seen with HC modality with NN model compared to baseline models. All four model classes show boost in performance when HC and CT modalities are combined. Conclusions:The correlation scores validate the utility of NN as prediction model. The proposed modular architecture of the NN provides a framework for multimodal analysis, and can be extended to incorporate other data modalities and/or predicting other clinical scales.