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

Katarina Trojachanec Dineva, Ivan Kitanovski, Ivica Dimitrovski, Suzana Loshkovska, Alzheimer’s Disease Neuroimaging Initiative

2023

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.

Paper Citation

in Harvard Style

Trojachanec Dineva K., Kitanovski I., Dimitrovski I., Loshkovska S. and Alzheimer’s Disease Neuroimaging Initiative. (2023). A Multi-Modality Approach to Medical Case Retrieval for Alzheimer's Disease. In Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 5: HEALTHINF; ISBN 978-989-758-631-6, SciTePress, pages 554-561. DOI: 10.5220/0011939800003414

in Bibtex Style

@conference{healthinf23,
author={Katarina Trojachanec Dineva and Ivan Kitanovski and Ivica Dimitrovski and Suzana Loshkovska and Alzheimer’s Disease Neuroimaging Initiative},
title={A Multi-Modality Approach to Medical Case Retrieval for Alzheimer's Disease},
booktitle={Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 5: HEALTHINF},
year={2023},
pages={554-561},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011939800003414},
isbn={978-989-758-631-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 5: HEALTHINF
TI - A Multi-Modality Approach to Medical Case Retrieval for Alzheimer's Disease
SN - 978-989-758-631-6
AU - Trojachanec Dineva K.
AU - Kitanovski I.
AU - Dimitrovski I.
AU - Loshkovska S.
AU - Alzheimer’s Disease Neuroimaging Initiative.
PY - 2023
SP - 554
EP - 561
DO - 10.5220/0011939800003414
PB - SciTePress