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Transparent machine learning suggests a key driver in the decision to start insulin therapy in individuals with type 2 diabetes
AIMS: The objective of this study is to establish a predictive model using transparent machine learning (ML) to identify any drivers that characterize therapeutic inertia. METHODS: Data in the form of both descriptive and dynamic variables collected from electronic records of 1.5 million patients se...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Wiley Publishing Asia Pty Ltd
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10036260/ https://www.ncbi.nlm.nih.gov/pubmed/36889912 http://dx.doi.org/10.1111/1753-0407.13361 |