Modeling autosomal dominant Alzheimer’s disease with machine learning

INTRODUCTION: Machine learning models were used to discover novel disease trajectories for autosomal dominant Alzheimer’s disease. METHODS: Longitudinal structural MRI, amyloid PET, and fluorodeoxyglucose PET were acquired in 131 mutation carriers and 74 non-carriers from the Dominantly Inherited Al...

Ful tanımlama

Kaydedildi:
Detaylı Bibliyografya
Yayımlandı:Alzheimers Dement
Asıl Yazarlar: Luckett, Patrick H., McCullough, Austin, Gordon, Brian A., Strain, Jeremy, Flores, Shaney, Dincer, Aylin, McCarthy, John, Kuffner, Todd, Stern, Ari, Meeker, Karin L., Berman, Sarah B., Chhatwal, Jasmeer P., Cruchaga, Carlos, Fagan, Anne M., Farlow, Martin R., Fox, Nick C., Jucker, Mathias, Levin, Johannes, Masters, Colin L., Mori, Hiroshi, Noble, James M., Salloway, Stephen, Schofield, Peter R., Brickman, Adam M., Brooks, William S., Cash, David M., Fulham, Michael J., Ghetti, Bernardino, Jack, Clifford R., Vöglein, Jonathan, Klunk, William, Koeppe, Robert, Oh, Hwamee, Su, Yi, Weiner, Michael, Wang, Qing, Swisher, Laura, Marcus, Dan, Koudelis, Deborah, Joseph-Mathurin, Nelly, Cash, Lisa, Hornbeck, Russ, Xiong, Chengjie, Perrin, Richard J., Karch, Celeste M., Hassenstab, Jason, McDade, Eric, Morris, John C., Benzinger, Tammie L.S., Bateman, Randall J., Ances, Beau M.
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2021
Konular:
Article
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC8195816/
https://ncbi.nlm.nih.gov/pubmed/33480178
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/alz.12259
Etiketler: Etiketle
Etiket eklenmemiş, İlk siz ekleyin!

Benzer Materyaller