Can non-linear machine-learning models predict long-term ESRD in patients with type 2 diabetes and nephropathy?
Machine-learning models using baseline characteristics can predict long-term ESRD in patients with diabetic kidney disease, potentially identifying high-risk patients for targeted therapy.
Despite large inter-patient variability, non-linear machine-learning models can be used to predict long-term ESRD in patients with type 2 diabetes and nephropathy using baseline demographic and clinical characteristics. The proposed method has the potential to create accurate and multiple outcome prediction automated models to identify high-risk patients who could benefit from therapy in clinical practice.
Nagaraj et al. (Wed,) studied this question.
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