Machine learning models facilitate detection of non-diabetic kidney disease in diabetes patients, indicating potential for clinical practice.
Despite performance variations in different modeling techniques, machine learning models may have the potential to facilitate the detection of NDKD for patients with contraindications for kidney biopsy. Further efforts are warranted to improve accuracy and facilitate their translation into clinical practice.
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Liu et al. (2026) studied this question.
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