Machine Learning Classification of Alzheimer’s Disease Using Joint Features of Diffusion Tensor Imaging and Clinical Scales

Author:

Ren ZheORCID,Yao XufengORCID,Yuan ZengbeiORCID,Zhou LiangORCID

Publisher

Springer Nature Singapore

Reference15 articles.

1. Jia, J.: The cost of Alzheimer’s disease in China and re-estimation of costs worldwide. Alzheimers Dement. 14(4), 483–491 (2018)

2. English, W.H.: Alzheimer’s disease. Psychiatry Q. 16(1), 91–106 (1942). https://doi.org/10.1007/BF01561248

3. Sharma, A.: A machine learning approach to unmask novel gene signatures and prediction of Alzheimer’s disease within different brain regions. Genomics 113(4), 1778–1789 (2021)

4. Kim, J.P.: Machine learning based hierarchical classification of frontotemporal dementia and Alzheimer’s disease. NeuroImage Clin. 43, 64–74 (2018)

5. Tooba, A.: Multi-class Alzheimer’s disease classification using image and clinical features. Biomed. Sign. Process. Control 14(4), 483–491 (2018)

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