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Authors: Katarina Trojachanec Dineva 1 ; Ivan Kitanovski 1 ; Ivica Dimitrovski 1 ; Suzana Loshkovska 1 and  Alzheimer’s Disease Neuroimaging Initiative 2

Affiliations: 1 Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Rugjer Boshkovik 16, PO Box 393, Skopje, N. Macedonia ; 2 Alzheimer’s Disease Neuroimaging Initiative, n.d.

Keyword(s): Alzheimer's Disease, Medical Case Retrieval, Multi-Modal, ADNI, TADPOLE.

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.

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Paper citation in several formats:
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) - HEALTHINF; ISBN 978-989-758-631-6; ISSN 2184-4305, SciTePress, pages 554-561. DOI: 10.5220/0011939800003414

@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) - HEALTHINF},
year={2023},
pages={554-561},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011939800003414},
isbn={978-989-758-631-6},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - HEALTHINF
TI - A Multi-Modality Approach to Medical Case Retrieval for Alzheimer's Disease
SN - 978-989-758-631-6
IS - 2184-4305
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

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