Predicting Response to Bolus Insulin Therapy in Patients With Type 2 Diabetes.
Elizabeth L EbyNeal R KellyJeffrey K HertzbergMoira C BlodgettCallie StubbinsRaja H PatelEric S MeadowsBrian D BenneyworthDouglas E FariesPublished in: Journal of diabetes science and technology (2022)
Predictive modeling using routine health care data reasonably accurately classified patients initiating bolus insulin who would achieve and maintain HbA1c goals, but less so for differentiation between patients who never met and who did not maintain goals. Prior HbA1c was a major contributing parameter for the predictions.
Keyphrases
- type diabetes
- end stage renal disease
- healthcare
- ejection fraction
- chronic kidney disease
- glycemic control
- peritoneal dialysis
- prognostic factors
- big data
- adipose tissue
- patient reported outcomes
- machine learning
- global health
- mesenchymal stem cells
- patient reported
- skeletal muscle
- artificial intelligence
- health insurance
- weight loss
- data analysis