Predicting adverse outcomes due to diabetes complications with machine learning using administrative health data

Abstract Across jurisdictions, government and health insurance providers hold a large amount of data from patient interactions with the healthcare system. We aimed to develop a machine learning-based model for predicting adverse outcomes due to diabetes complications using administrative health data...

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Bibliografiske detaljer

Principais autores:	Mathieu Ravaut, Hamed Sadeghi, Kin Kwan Leung, Maksims Volkovs, Kathy Kornas, Vinyas Harish, Tristan Watson, Gary F. Lewis, Alanna Weisman, Tomi Poutanen, Laura Rosella
Format:	Artigo
Sprog:	Inglês
Udgivet:	Nature Portfolio 2021-02-01
Serier:	npj Digital Medicine
Online adgang:	https://doi.org/10.1038/s41746-021-00394-8
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