Predicting sporadic Alzheimer’s disease progression via inherited Alzheimer’s disease-informed machine-learning

INTRODUCTION: Developing cross-validated multi-biomarker models for the prediction of the rate of cognitive decline in Alzheimer’s disease (AD) is a critical yet unmet clinical challenge. METHODS: We applied support vector regression to AD biomarkers derived from cerebrospinal fluid, structural magn...

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Vydáno v:Alzheimers Dement
Hlavní autoři: Franzmeier, Nicolai, Koutsouleris, Nikolaos, Benzinger, Tammie, Goate, Alison, Karch, Celeste M., Fagan, Anne M., McDade, Eric, Duering, Marco, Dichgans, Martin, Levin, Johannes, Gordon, Brian A., Lim, Yen Ying, Masters, Colin L., Rossor, Martin, Fox, Nick C., O’Connor, Antoinette, Chhatwal, Jasmeer, Salloway, Stephen, Danek, Adrian, Hassenstab, Jason, Schofield, Peter R., Morris, John C., Bateman, Randall J., Ewers, Michael
Médium: Artigo
Jazyk:Inglês
Vydáno: 2020
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Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7222030/
https://ncbi.nlm.nih.gov/pubmed/32043733
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/alz.12032
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