A code-agnostic text representation of EHRs outperformed code-based input for predicting retinopathy, nephropathy and neuropathy at 1, 5, and 10 years in 133,784 UK type 2 diabetes patients.
Incidence rates and predictors of microvascular and macrovascular complications in patients with type 2 diabetes: Results from the longitudinal global discover study
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Exploring Long-Term Prediction of Type 2 Diabetes Microvascular Complications
A code-agnostic text representation of EHRs outperformed code-based input for predicting retinopathy, nephropathy and neuropathy at 1, 5, and 10 years in 133,784 UK type 2 diabetes patients.