Machine learning approaches to predicting amyloid status using data from an online research and recruitment registry: The Brain Health Registry

INTRODUCTION: This study investigated the extent to which subjective and objective data from an online registry can be analyzed using machine learning methodologies to predict the current brain amyloid beta (Aβ) status of registry participants. METHODS: We developed and optimized machine learning mo...

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Detalles Bibliográficos
Autores principales: Albright, Jack, Ashford, Miriam T., Jin, Chengshi, Neuhaus, John, Rabinovici, Gil D., Truran, Diana, Maruff, Paul, Mackin, R. Scott, Nosheny, Rachel L., Weiner, Michael W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Cognitive & Behavioral Assessment
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8190559/
https://www.ncbi.nlm.nih.gov/pubmed/34136635
http://dx.doi.org/10.1002/dad2.12207

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8190559/
https://www.ncbi.nlm.nih.gov/pubmed/34136635
http://dx.doi.org/10.1002/dad2.12207

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