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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| Auteurs principaux: | , , , , , , , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Nature Portfolio
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/618f79c514f043dc8f26ffb41f8e1df6 |
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