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Predicting rate of cognitive decline at baseline using a deep neural network with multidata analysis

Purpose: Our study investigates whether a machine-learning-based system can predict the rate of cognitive decline in mildly cognitively impaired patients by processing only the clinical and imaging data collected at the initial visit. Approach: We built a predictive model based on a supervised hybri...

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Detalles Bibliográficos
Publicado en:J Med Imaging (Bellingham)
Main Authors: Candemir, Sema, Nguyen, Xuan V., Prevedello, Luciano M., Bigelow, Matthew T., White, Richard D., Erdal, Barbaros S.
Formato: Artigo
Idioma:Inglês
Publicado: Society of Photo-Optical Instrumentation Engineers 2020
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC7419712/
https://ncbi.nlm.nih.gov/pubmed/32832577
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.7.4.044501
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