A Multi-Modality Approach to Medical Case Retrieval for Alzheimer's Disease

Abstract

In this research, we evaluate medical case retrieval for AD on the bases of descriptors generated by combining different modalities (Magnetic Resonance Imaging (MRI) markers, Fluorodeoxy-glucose Positron Emission Tomography (FDG-PET) based measures, Cerebrospinal Fluid (CSF) protein levels, and Apolipoprotein-E (APOE) genotype and age as risk factors). We investigated whether they would provide complementary information aiming to improve medical case retrieval for AD. According to the obtained results, we concluded that this approach outperformed the retrieval results in the current reported research by gaining MAP value of 0.98 yet providing an efficient medical case retrieval for AD and keeping low dimensional feature vector.