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Unsupervised machine learning cluster analysis to identification EVAR patients clinical phenotypes based on radiomics.

Yonggang WangMin ZhouYong DingXu LiTianchen XieZhenyu ZhouWeiguo FuZhenyu Shi
Published in: Vascular (2024)
Based on radiomics, UML cluster analysis can identify clinical phenotypes in EVAR patients with distinct long-term outcomes.
Keyphrases
  • machine learning
  • end stage renal disease
  • chronic kidney disease
  • ejection fraction
  • newly diagnosed
  • lymph node metastasis
  • peritoneal dialysis
  • prognostic factors
  • computed tomography
  • contrast enhanced