A comparison of machine learning methods for survival analysis of high-dimensional clinical data for dementia prediction
Abstract 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 chall...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2020-11-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-020-77220-w |