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.
Untangling the complexity of multimorbidity with machine learning
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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.