An interpretable machine learning model for diagnosis of Alzheimer's disease - Das, Diptesh; Ito, Junichi; Kadowaki, Tadashi; Tsuda, Koji (PeerJ (San Francisco, CA), 2019)
Keywords: Accuracy; Algorithms; Alzheimer's disease; Alzheimer’s disease (AD); Artificial intelligence; Bioinformatics; Biomarkers; Blood proteins; Cerebrospinal fluid; Cognitive Disorders; Computational Biology; Computer-aided diagnosis (CAD) model; Data Mining and Machine Learning; Decision making; Dementia; Diagnosis; Diagnostic imaging; Gene expression; General Data Protection Regulation; Interpretable model; Learning algorithms; Machine learning; Medical imaging; Neural networks; Neurodegenerative diseases; Neuroimaging; Neuroscience; NMR; Nuclear magnetic resonance; Patients; Physicians; Plasma proteins; Precision medicine; Proteins; Proteomics; SHIMR; Sparse high-order interaction; Japan; ADNI; Interpretable model; Alzheimer’s disease (AD); Machine learning model; Sparse high-order interaction; Cost-effective framework; SHIMR; Classification with rejection option; Computer-aided diagnosis (CAD) model; Dementia