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Machine Learning Models for Inpatient Glucose Prediction
PURPOSE OF REVIEW: Glucose management in the hospital is difficult due to non-static factors such as antihyperglycemic and steroid doses, renal function, infection, surgical status, and diet. Given these complex and dynamic factors, machine learning approaches can be leveraged for prediction of gluc...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9244155/ https://www.ncbi.nlm.nih.gov/pubmed/35759171 http://dx.doi.org/10.1007/s11892-022-01477-w |