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...

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Detalles Bibliográficos
Autores principales: Li, Yan, Sperrin, Matthew, Ashcroft, Darren M, van Staa, Tjeerd Pieter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group Ltd. 2020
Materias:
Research
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

Internet

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

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