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Fig. 2 | BMC Endocrine Disorders

Fig. 2

From: Glycemic and lipid variability for predicting complications and mortality in diabetes mellitus using machine learning

Fig. 2

a Importance ranking and minimal depth of significant univariable variables to predict mortality, renal, PVD, and neurological complications using regularized and weighted random survival forests model. b Importance ranking and minimal depth of significant univariable variables to predict ophthalmological, ischemic stroke, AF, and HF complications using regularized and weighted random survival forests model. c Importance ranking and minimal depth of significant univariable variables to predict ICH, IHD, AMI, and osteoporosis complications using regularized and weighted random survival forests model

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BMC Endocrine Disorders

ISSN: 1472-6823

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