Machine Learning Reveals a Multipredictor Nomogram for Diagnosing the Alzheimer’s Disease Based on Chemiluminescence Immunoassay for Total Tau in Plasma

BACKGROUND: Predicting amnestic mild cognitive impairment (aMCI) in conversion and Alzheimer’s disease (AD) remains a daunting task. Standard diagnostic procedures for AD population are reliant on neuroimaging features (positron emission tomography, PET), cerebrospinal fluid (CSF) biomarkers (Aβ1-42...

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Detalles Bibliográficos
Autores principales: Zhang, Lingyu, Wang, Danhua, Dai, Yibei, Wang, Xuchu, Cao, Ying, Liu, Weiwei, Tao, Zhihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9136081/
https://www.ncbi.nlm.nih.gov/pubmed/35645782
http://dx.doi.org/10.3389/fnagi.2022.863673

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9136081/
https://www.ncbi.nlm.nih.gov/pubmed/35645782
http://dx.doi.org/10.3389/fnagi.2022.863673

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