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Data analysis with Shapley values for automatic subject selection in Alzheimer’s disease data sets using interpretable machine learning
BACKGROUND: For the recruitment and monitoring of subjects for therapy studies, it is important to predict whether mild cognitive impaired (MCI) subjects will prospectively develop Alzheimer’s disease (AD). Machine learning (ML) is suitable to improve early AD prediction. The etiology of AD is heter...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8444618/ https://www.ncbi.nlm.nih.gov/pubmed/34526114 http://dx.doi.org/10.1186/s13195-021-00879-4 |