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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...
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| Wydane w: | Sci Rep |
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| Główni autorzy: | , , , , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Nature Publishing Group UK
2020
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7683682/ https://ncbi.nlm.nih.gov/pubmed/33230128 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-77220-w |
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