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Consistency of variety of machine learning and statistical models in predicting clinical risks of individual patients: longitudinal cohort study using cardiovascular disease as exemplar
OBJECTIVE: To assess the consistency of machine learning and statistical techniques in predicting individual level and population level risks of cardiovascular disease and the effects of censoring on risk predictions. DESIGN: Longitudinal cohort study from 1 January 1998 to 31 December 2018. SETTING...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BMJ Publishing Group Ltd.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7610202/ https://www.ncbi.nlm.nih.gov/pubmed/33148619 http://dx.doi.org/10.1136/bmj.m3919 |