Machine learning methods to predict amyloid positivity using domain scores from cognitive tests
Abstract Amyloid- $$\beta$$ β (A $$\beta$$ β ) is the target in many clinical trials for Alzheimer’s disease (AD). Preclinical AD patients are heterogeneous with regards to different backgrounds and diagnosis. Accurately predicting A $$\beta$$ β status of participants by using machine learning (ML)...
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| Auteurs principaux: | , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Nature Portfolio
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/ea894322e2e844929f1099088cdfa50c |
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