Machine learning based on Optical Coherence Tomography images as a diagnostic tool for Alzheimer's disease

AIMS: We mainly evaluate retinal alterations in Alzheimer's disease (AD) patients, investigate the associations between retinal changes with AD biomarkers, and explore an optimal machine learning (ML) model for AD diagnosis based on retinal thickness. METHODS: A total of 159 AD patients and 299...

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Detalles Bibliográficos
Autores principales: Wang, Xin, Jiao, Bin, Liu, Hui, Wang, Yaqin, Hao, Xiaoli, Zhu, Yuan, Xu, Bei, Xu, Huizhuo, Zhang, Sizhe, Jia, Xiaoliang, Xu, Qian, Liao, Xinxin, Zhou, Yafang, Jiang, Hong, Wang, Junling, Guo, Jifeng, Yan, Xinxiang, Tang, Beisha, Zhao, Rongchang, Shen, Lu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9627364/
https://www.ncbi.nlm.nih.gov/pubmed/36089740
http://dx.doi.org/10.1111/cns.13963

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9627364/
https://www.ncbi.nlm.nih.gov/pubmed/36089740
http://dx.doi.org/10.1111/cns.13963

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