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P4‐212: Predicting Progression From Mild Cognitive Impairment (MCI) to Alzheimer’s Disease Using Perfusion Brain Spect Imaging Analysis of The Initial Hospital Visit
Author(s) -
Nakata Ruka,
Yuasa Takayuki,
Nakao Yoko,
Ichinose Katsuhiro,
Tomita Itsuro,
Satoh Hideyo,
Satoh Akira,
Ochi Makoto,
Seto Makiko,
Mitsuhiro Tsujihata
Publication year - 2016
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2016.06.2304
Subject(s) - precuneus , angular gyrus , spect imaging , medicine , inferior parietal lobule , perfusion scanning , supramarginal gyrus , superior parietal lobule , perfusion , parahippocampal gyrus , cardiology , nuclear medicine , psychology , radiology , cognition , temporal lobe , psychiatry , functional magnetic resonance imaging , epilepsy
[.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.