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A comparison of machine learning methods for survival analysis of high-dimensional clinical data for dementia prediction
Data collected from clinical trials and cohort studies, such as dementia studies, are often high-dimensional, censored, heterogeneous and contain missing information, presenting challenges to traditional statistical analysis. There is an urgent need for methods that can overcome these challenges to...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7683682/ https://www.ncbi.nlm.nih.gov/pubmed/33230128 http://dx.doi.org/10.1038/s41598-020-77220-w |