Comparison of prediction performance with previously reported metrics. door Raiki Yoshimura (22676573)

Andere auteurs: “…Naotoshi Nakamura (12083048)…”

Stratification and characterization of groups showing different graft survival: (A) UMAP visualization of the stratified derivation cohort data based on the distance matrix from th... door Raiki Yoshimura (22676573)

Andere auteurs: “…Naotoshi Nakamura (12083048)…”

Comparison of performance of four machine learning models for early graft loss prediction. door Raiki Yoshimura (22676573)

Andere auteurs: “…Naotoshi Nakamura (12083048)…”

Comparison of performance of four machine learning models for long-term graft loss prediction. door Raiki Yoshimura (22676573)

Andere auteurs: “…Naotoshi Nakamura (12083048)…”

Predicting stratified groups in the validation cohort: (A) Workflows for the multi-class classification and hierarchical classification models are illustrated. door Raiki Yoshimura (22676573)

Andere auteurs: “…Naotoshi Nakamura (12083048)…”

Comparison of binary classifier performance among four machine learning models for early-loss, intermediate-loss, and late/no-loss groups. door Raiki Yoshimura (22676573)

Andere auteurs: “…Naotoshi Nakamura (12083048)…”

Comparison of hierarchical classifier performance among four machine learning models for the early-loss, intermediate-loss, and late/no-loss groups. door Raiki Yoshimura (22676573)

Andere auteurs: “…Naotoshi Nakamura (12083048)…”

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. door Raiki Yoshimura (22676573)

Andere auteurs: “…Naotoshi Nakamura (12083048)…”

Comparison of multi-class classifier performance among four machine learning models for early-loss, intermediate-loss, and late/no-loss groups. door Raiki Yoshimura (22676573)

Andere auteurs: “…Naotoshi Nakamura (12083048)…”