A Multi-Modality Approach to Medical Case Retrieval for Alzheimer's Disease
Date Issued
2023
Author(s)
Trojachanec Dineva, Katarina
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.
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.
Subjects
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