دورية أكاديمية
A robust and interpretable machine learning approach using multimodal biological data to predict future pathological tau accumulation
| العنوان: | A robust and interpretable machine learning approach using multimodal biological data to predict future pathological tau accumulation |
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| المؤلفون: | Joseph Giorgio, William J. Jagust, Suzanne Baker, Susan M. Landau, Peter Tino, Zoe Kourtzi, Alzheimer’s Disease Neuroimaging Initiative |
| المصدر: | Nature Communications, Vol 13, Iss 1, Pp 1-14 (2022) |
| بيانات النشر: | Nature Portfolio, 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Science |
| مصطلحات موضوعية: | Science |
| الوصف: | The authors present a machine learning approach that combines baseline multimodal data to accurately predict individualised trajectories of future pathological tau accumulation at asymptomatic and mildly impaired stages of Alzheimer’s disease. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2041-1723 19544693 |
| Relation: | https://doaj.org/toc/2041-1723 |
| DOI: | 10.1038/s41467-022-28795-7 |
| URL الوصول: | https://doaj.org/article/6c6f76ff19544693800d5a0494be1991 |
| رقم الأكسشن: | edsdoj.6c6f76ff19544693800d5a0494be1991 |
| قاعدة البيانات: | Directory of Open Access Journals |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 20411723 19544693 |
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| DOI: | 10.1038/s41467-022-28795-7 |