Comparison of performance of four machine learning models for long-term graft loss prediction.

Antzeko izenburuak

• Prediction of early graft loss at the individual level and identification of crucial factors: (A) Survival curves for all patients who experienced graft loss are plotted.
  nork: Raiki Yoshimura (22676573)
  Argitaratua: (2025)
• Comparison of performance of four machine learning models for early graft loss prediction.
  nork: Raiki Yoshimura (22676573)
  Argitaratua: (2025)
• Stratification and characterization of groups showing different graft survival: (A) UMAP visualization of the stratified derivation cohort data based on the distance matrix from the RF clustering.
  nork: Raiki Yoshimura (22676573)
  Argitaratua: (2025)
• Comparison of hierarchical classifier performance among four machine learning models for the early-loss, intermediate-loss, and late/no-loss groups.
  nork: Raiki Yoshimura (22676573)
  Argitaratua: (2025)
• Comparison of multi-class classifier performance among four machine learning models for early-loss, intermediate-loss, and late/no-loss groups.
  nork: Raiki Yoshimura (22676573)
  Argitaratua: (2025)