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: | Annette Spooner, Emily Chen, Arcot Sowmya, Perminder Sachdev, Nicole A. Kochan, Julian Trollor, Henry Brodaty |
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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 |
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