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

Outros autores: “...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... por Raiki Yoshimura (22676573)

Outros autores: “...Naotoshi Nakamura (12083048)...”

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

Outros autores: “...Naotoshi Nakamura (12083048)...”

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

Outros autores: “...Naotoshi Nakamura (12083048)...”

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

Outros autores: “...Naotoshi Nakamura (12083048)...”

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

Outros autores: “...Naotoshi Nakamura (12083048)...”

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

Outros autores: “...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. por Raiki Yoshimura (22676573)

Outros autores: “...Naotoshi Nakamura (12083048)...”

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

Outros autores: “...Naotoshi Nakamura (12083048)...”