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Chinese Conference on Biometric Recognition

CCBR 2021: Biometric Recognition pp 102–111Cite as

Alzheimer's Disease Prediction via the Association of Single Nucleotide Polymorphism with Brain Regions

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 12878))

Abstract

Imaging genomics is an effective tool in the detection and causative factor analysis of Alzheimer's disease (AD). Based on single nucleotide polymorphism (SNP) and structural magnetic resonance imaging (MRI) data, we propose a novel AD analysis model using multi-modal data fusion and multi-detection model fusion. Firstly, based on the characteristics of SNP data, we fully extract highly representative features. Secondly, the fused data are used to construct fusion features. Finally, according to the characteristics of the fused data, we design a fused prediction model with multiple machine learning models. The model integrates four machine learning models and feeds them into the final XGBoost model for AD prediction. The experimental results show that the data fusion method and the fusion model of multiple machine learning models proposed in this paper can effectively improve the prediction accuracy. Our model can identify AD patients and detect abnormal brain regions and risk SNPs associated with AD, which can perform the association of risk SNPs with abnormal brain regions.

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Authors and Affiliations

  1. National-Region Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, 518060, China

    Yafeng Li, Yiyao Liu, Tianfu Wang & Baiying Lei

Authors
  1. Yafeng Li
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  2. Yiyao Liu
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  3. Tianfu Wang
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  4. Baiying Lei
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Corresponding author

Correspondence to Baiying Lei .

Editor information

Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Jianjiang Feng

  2. Fudan University, Shanghai, China

    Junping Zhang

  3. Shanghai Jiao Tong University, Shanghai, China

    Manhua Liu

  4. Shanghai University, Shanghai, China

    Yuchun Fang

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Li, Y., Liu, Y., Wang, T., Lei, B. (2021). Alzheimer's Disease Prediction via the Association of Single Nucleotide Polymorphism with Brain Regions. In: Feng, J., Zhang, J., Liu, M., Fang, Y. (eds) Biometric Recognition. CCBR 2021. Lecture Notes in Computer Science(), vol 12878. Springer, Cham. https://doi.org/10.1007/978-3-030-86608-2_12

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  • DOI: https://doi.org/10.1007/978-3-030-86608-2_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-86607-5

  • Online ISBN: 978-3-030-86608-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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