Machine learning risk prediction model for acute coronary syndrome and death from use of non-steroidal anti-inflammatory drugs in administrative data

Our aim was to investigate the usefulness of machine learning approaches on linked administrative health data at the population level in predicting older patients’ one-year risk of acute coronary syndrome and death following the use of non-steroidal anti-inflammatory drugs (NSAIDs). Patients from a...

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Detalles Bibliográficos
Autores principales: Lu, Juan, Wang, Ling, Bennamoun, Mohammed, Ward, Isaac, An, Senjian, Sohel, Ferdous, Chow, Benjamin J. W., Dwivedi, Girish, Sanfilippo, Frank M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8443580/
https://www.ncbi.nlm.nih.gov/pubmed/34526544
http://dx.doi.org/10.1038/s41598-021-97643-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8443580/
https://www.ncbi.nlm.nih.gov/pubmed/34526544
http://dx.doi.org/10.1038/s41598-021-97643-3

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