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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Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Τόπος έκδοσης:Alzheimers Dement
Κύριοι συγγραφείς: 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
Μορφή: Artigo
Γλώσσα:Inglês
Έκδοση: 2020
Θέματα:
Article
Διαθέσιμο Online: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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