Machine Learning Applied to Routinely Collected Health Administrative Data.

Healthc Q

An MD/PhD candidate at the Temerty Faculty of Medicine and the Dalla Lana School of Public Health, University of Toronto in Toronto, ON.

Published: April 2022

There has been considerable growth in the development of machine learning algorithms for clinical applications. The authors survey recent machine learning models developed with the use of large health administrative databases at ICES and highlight three areas of ongoing development that are particularly important for health system applications.

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Source
http://dx.doi.org/10.12927/hcq.2022.26813DOI Listing

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