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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| Autores principales: | , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/ea894322e2e844929f1099088cdfa50c |
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