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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Detalles Bibliográficos
Autores principales: Spooner, Annette, Chen, Emily, Sowmya, Arcot, Sachdev, Perminder, Kochan, Nicole A., Trollor, Julian, Brodaty, Henry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
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

Internet

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

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