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...
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Autores principales: | , , , , , , |
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Formato: | article |
Lenguaje: | EN |
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Nature Portfolio
2020
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Acceso en línea: | https://doaj.org/article/241adb643d7845fea517bcfa07bbbc26 |
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