Intelligent detection and classification of Alzheimer's disease based on machine learning

Jiaming Song; Zhenhao Wei; Jiayi Yi; Siyi Liu

doi:10.1117/12.2687379

28 August 2023 Intelligent detection and classification of Alzheimer's disease based on machine learning

Jiaming Song, Zhenhao Wei, Jiayi Yi, Siyi Liu

Proceedings Volume 12724, Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023); 1272415 (2023) https://doi.org/10.1117/12.2687379
Event: Second International Conference on Biomedical and Intelligent Systems (IC-BIS2023), 2023, Xiamen, China

Abstract

Alzheimer's disease is a form of mental loss that causes memory loss, slow and gradual changes in brain function. Early diagnosis and prediction of Alzheimer's disease can delay the onset of the disease and possibly prolong the life span of patients, which has important scientific significance for the whole society. We used the multiple linear regression model and established a statistical model according to the obtained test results and past experience to reveal the evolution patterns of different categories of Alzheimer's disease over time. The corresponding variables were predicted and controlled. The regression coefficient was calculated, and the correlation coefficient was 0.82, thus demonstrating the accuracy of the model. Secondly, since the diagnosis and characteristic indicators of patients are contingent to a certain extent, this paper draws the time series images of relevant personnel through random extraction, compares the predicted results with the real results and tests the residual error, with an accuracy of 80.8%.

Citation Download Citation

Jiaming Song, Zhenhao Wei, Jiayi Yi, and Siyi Liu "Intelligent detection and classification of Alzheimer's disease based on machine learning", Proc. SPIE 12724, Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023), 1272415 (28 August 2023); https://doi.org/10.1117/12.2687379

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