Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41065, first published .
Development and External Validation of Machine Learning Models for Diabetic Microvascular Complications: Cross-Sectional Study With Metabolites

Development and External Validation of Machine Learning Models for Diabetic Microvascular Complications: Cross-Sectional Study With Metabolites

Development and External Validation of Machine Learning Models for Diabetic Microvascular Complications: Cross-Sectional Study With Metabolites

Journals

  1. Reshetnikov A, Shaikhattarova N, Mazurok M, Kasatkina N. Dental Tissue Density in Healthy Children Based on Radiological Data: Retrospective Analysis. JMIRx Med 2024;5:e56759 View
  2. Wang L, Su J, Liu Z, Ding S, Li Y, Hou B, Hu Y, Dong Z, Tang J, Liu H, Liu W. Identification of immune-associated biomarkers of diabetes nephropathy tubulointerstitial injury based on machine learning: a bioinformatics multi-chip integrated analysis. BioData Mining 2024;17(1) View
  3. Vujosevic S, Limoli C, Nucci P. Novel artificial intelligence for diabetic retinopathy and diabetic macular edema: what is new in 2024?. Current Opinion in Ophthalmology 2024;35(6):472 View