阿尔茨海默病病例检索的多模态方法

Proceedings of the International Conference on Health Informatics and Medical Application Technology Pub Date : 2023-01-01 DOI:10.5220/0011939800003414

K. Dineva, Ivan Kitanovski, I. Dimitrovski, S. Loskovska, Alzheimer's Disease Neuroimaging Initiative

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引用次数: 0

摘要

在本研究中，我们基于不同方式(磁共振成像(MRI)标记、基于氟脱氧葡萄糖正电子发射断层扫描(FDG-PET)的测量、脑脊液(CSF)蛋白水平、载脂蛋白e (APOE)基因型和年龄作为危险因素)生成的描述符，对AD的医学病例检索进行评估。我们调查了它们是否会提供旨在改善阿尔茨海默病医学病例检索的补充信息。根据得到的结果，我们得出结论，该方法在MAP值为0.98的情况下，在保持低维特征向量的情况下，为AD提供了高效的医学案例检索，优于目前报道的检索结果。

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

: 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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Proceedings of the International Conference on Health Informatics and Medical Application Technology

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