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

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 from the...

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Detalles Bibliográficos
Autores principales: Ravaut, Mathieu, Sadeghi, Hamed, Leung, Kin Kwan, Volkovs, Maksims, Kornas, Kathy, Harish, Vinyas, Watson, Tristan, Lewis, Gary F., Weisman, Alanna, Poutanen, Tomi, Rosella, Laura
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/PMC7881135/
https://www.ncbi.nlm.nih.gov/pubmed/33580109
http://dx.doi.org/10.1038/s41746-021-00394-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7881135/
https://www.ncbi.nlm.nih.gov/pubmed/33580109
http://dx.doi.org/10.1038/s41746-021-00394-8

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