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

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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... par Raiki Yoshimura (22676573)

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

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

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

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

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

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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. par Raiki Yoshimura (22676573)

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

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