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A scoping methodological review of simulation studies comparing statistical and machine learning approaches to risk prediction for time-to-event data
BACKGROUND: There is substantial interest in the adaptation and application of so-called machine learning approaches to prognostic modelling of censored time-to-event data. These methods must be compared and evaluated against existing methods in a variety of scenarios to determine their predictive p...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9161606/ https://www.ncbi.nlm.nih.gov/pubmed/35650647 http://dx.doi.org/10.1186/s41512-022-00124-y |