https://scholars.lib.ntu.edu.tw/handle/123456789/640434
標題: | Classifying Alzheimer's disease and normal subjects using machine learning techniques and genetic-environmental features | 作者: | Huang, Yu-Hua Chen, Yi-Chun Ho, Wei-Min Lee, Ren-Guey Chung, Ren-Hua Liu, Yu-Li Chang, Pi-Yueh Chang, Shih-Cheng Wang, Chaung-Wei Chung, Wen-Hung Tsai, Shih-Jen PO-HSIU KUO Lee, Yun-Shien Hsiao, Chun-Chieh |
關鍵字: | Alzheimer's disease; Artificial neural networks (ANNs); Machine learning; Single nucleotide polymorphisms; Whole-genome genotyping; Whole-genome sequencing | 公開日期: | 2-十二月-2023 | 出版社: | Elsevier B.V. | 來源出版物: | Journal of the Formosan Medical Association | 摘要: | Alzheimer's disease (AD) is complicated by multiple environmental and polygenetic factors. The accuracy of artificial neural networks (ANNs) incorporating the common factors for identifying AD has not been evaluated. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/640434 | ISSN: | 0929-6646 | DOI: | 10.1016/j.jfma.2023.10.021 |
顯示於: | 流行病學與預防醫學研究所 |
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