Trend prediction of Alzheimer's disease incidence based on the regression algorithm

Yingzi Chen; Junhao Liang; Yanzhao Wang; Hui Qi; Weiwei Li; Guohua Qin

doi:10.1117/12.3011468

7 December 2023 Trend prediction of Alzheimer's disease incidence based on the regression algorithm

Yingzi Chen, Junhao Liang, Yanzhao Wang, Hui Qi, Weiwei Li, Guohua Qin

Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 1294108 (2023) https://doi.org/10.1117/12.3011468
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China

Abstract

At present, China is in the stage of aging over age, as the aging of more serious, Alzheimer's disease (AD) prevalence increased year by year. Alzheimer's disease trend prediction algorithm prediction accuracy is not high, prediction time is short, combining with regression algorithm model for long-term prediction method. The regression algorithm can predict continuous variables, which is conducive to reveal the pathological mechanism of Alzheimer's disease and can more accurately realize the auxiliary diagnosis and prognosis prediction of Alzheimer's disease. With the development of medical imaging technology, the application of regression algorithm to the clinical score of Alzheimer's disease is increasing. In this paper, deep learning method is used to predict Alzheimer disease onset trend based on regression algorithm model.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yingzi Chen, Junhao Liang, Yanzhao Wang, Hui Qi, Weiwei Li, and Guohua Qin "Trend prediction of Alzheimer's disease incidence based on the regression algorithm", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 1294108 (7 December 2023); https://doi.org/10.1117/12.3011468

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