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Interpretable machine learning-derived nomogram model for early detection of diabetic retinopathy in type 2 diabetes mellitus: a widely targeted metabolomics study.

Ju-Shuang LiChengnan GuoTao WangYixi XuFang PengShuzhen ZhaoHuihui LiDongzhen JinZhezheng XiaMingzhu CheJingjing ZuoChao ZhengHonglin HuGuang-Yun Mao
Published in: Nutrition & diabetes (2022)
The nomogram presents an accurate and favorable prediction for DR detection. Further research with larger study populations is needed to confirm our findings.
Keyphrases
  • diabetic retinopathy
  • machine learning
  • mass spectrometry
  • lymph node metastasis
  • optical coherence tomography
  • big data
  • editorial comment
  • genetic diversity
  • real time pcr
  • loop mediated isothermal amplification