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...

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Detalles Bibliográficos
Autores principales: Musacchio, Nicoletta, Zilich, Rita, Ponzani, Paola, Guaita, Giacomo, Giorda, Carlo, Heidbreder, Rebeca, Santin, Pierluigi, Di Cianni, Graziano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wiley Publishing Asia Pty Ltd 2023
Materias:
Original Articles
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

Internet

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

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