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

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

Abstract 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). Patient...

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Bibliographic Details
Main Authors: Juan Lu, Ling Wang, Mohammed Bennamoun, Isaac Ward, Senjian An, Ferdous Sohel, Benjamin J. W. Chow, Girish Dwivedi, Frank M. Sanfilippo
Format: Article
Language:English
Published: Nature Portfolio 2021-09-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-97643-3

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