Machine Learning-based Individual Assessment of Cortical Atrophy Pattern in Alzheimer’s Disease Spectrum: Development of the Classifier and Longitudinal Evaluation

To develop a new method for measuring Alzheimer’s disease (AD)-specific similarity of cortical atrophy patterns at the individual-level, we employed an individual-level machine learning algorithm. A total of 869 cognitively normal (CN) individuals and 473 patients with probable AD dementia who under...

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Detalles Bibliográficos
Autores principales: Lee, Jin San, Kim, Changsoo, Shin, Jeong-Hyeon, Cho, Hanna, Shin, Dae-seock, Kim, Nakyoung, Kim, Hee Jin, Kim, Yeshin, Lockhart, Samuel N., Na, Duk L., Seo, Sang Won, Seong, Joon-Kyung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5841386/
https://www.ncbi.nlm.nih.gov/pubmed/29515131
http://dx.doi.org/10.1038/s41598-018-22277-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5841386/
https://www.ncbi.nlm.nih.gov/pubmed/29515131
http://dx.doi.org/10.1038/s41598-018-22277-x

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