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

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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Bibliographic Details
Main Authors: 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: Article
Language:English
Published: Nature Publishing Group 2021-02-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-021-00394-8

Internet

https://doi.org/10.1038/s41746-021-00394-8

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