Résultat(s) 1 - 9 résultats de 9 pour la requête 'Naotoshi Nakamura (12083048)', Temps de recherche: 0,01s Affiner les résultats
  1. 1
    Comparison of prediction performance with previously reported metrics.

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

    Publié 2025
    Autres auteurs: “…Naotoshi Nakamura (12083048)…”
    Ajouter aux favoris
    Enregistré dans:
  2. 2
    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.

    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)

    Publié 2025
    Autres auteurs: “…Naotoshi Nakamura (12083048)…”
    Ajouter aux favoris
    Enregistré dans:
  3. 3
    Comparison of performance of four machine learning models for early graft loss prediction.

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

    Publié 2025
    Autres auteurs: “…Naotoshi Nakamura (12083048)…”
    Ajouter aux favoris
    Enregistré dans:
  4. 4
    Comparison of performance of four machine learning models for long-term graft loss prediction.

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

    Publié 2025
    Autres auteurs: “…Naotoshi Nakamura (12083048)…”
    Ajouter aux favoris
    Enregistré dans:
  5. 5
    Predicting stratified groups in the validation cohort: (A) Workflows for the multi-class classification and hierarchical classification models are illustrated.

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

    Publié 2025
    Autres auteurs: “…Naotoshi Nakamura (12083048)…”
    Ajouter aux favoris
    Enregistré dans:
  6. 6
    Comparison of binary classifier performance among four machine learning models for early-loss, intermediate-loss, and late/no-loss groups.

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

    Publié 2025
    Autres auteurs: “…Naotoshi Nakamura (12083048)…”
    Ajouter aux favoris
    Enregistré dans:
  7. 7
    Comparison of hierarchical classifier performance among four machine learning models for the early-loss, intermediate-loss, and late/no-loss groups.

    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)

    Publié 2025
    Autres auteurs: “…Naotoshi Nakamura (12083048)…”
    Ajouter aux favoris
    Enregistré dans:
  8. 8
    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.

    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)

    Publié 2025
    Autres auteurs: “…Naotoshi Nakamura (12083048)…”
    Ajouter aux favoris
    Enregistré dans:
  9. 9
    Comparison of multi-class classifier performance among four machine learning models for early-loss, intermediate-loss, and late/no-loss groups.

    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)

    Publié 2025
    Autres auteurs: “…Naotoshi Nakamura (12083048)…”
    Ajouter aux favoris
    Enregistré dans:

Outils de recherche: