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Prediction of premature all-cause mortality: A prospective general population cohort study comparing machine-learning and standard epidemiological approaches
BACKGROUND: Prognostic modelling using standard methods is well-established, particularly for predicting risk of single diseases. Machine-learning may offer potential to explore outcomes of even greater complexity, such as premature death. This study aimed to develop novel prediction algorithms usin...
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| Published in: | PLoS One |
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| Main Authors: | , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
Public Library of Science
2019
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6436798/ https://ncbi.nlm.nih.gov/pubmed/30917171 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0214365 |
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