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Explainable Machine Learning (XAI) for Survival in Bone Mar..:
Roberto Passera
;
Sofia Zompi
;
Jessica Gill
.
https://dx.doi.org/10.3390/biomedinformatics3030048. , 2023
Link:
https://doi.org/10.3390/biomedinformatics3030048
RT Journal T1
Explainable Machine Learning (XAI) for Survival in Bone Marrow Transplantation Trials: A Technical Report
UL https://suche.suub.uni-bremen.de/peid=base-ftmdpi:oai:mdpi.com:_2673-7426_3_3_48_&Exemplar=1&LAN=DE A1 Roberto Passera A1 Sofia Zompi A1 Jessica Gill A1 Alessandro Busca PB Multidisciplinary Digital Publishing Institute YR 2023 K1 artificial intelligence K1 machine learning K1 explainable machine learning (XAI) K1 shapley additive explanations (SHAP) K1 local interpretable model-agnostic explanations (LIME) K1 partial dependence profiles (PDP) K1 proportional hazard regression model K1 random survival forest K1 survival analysis K1 allogeneic bone marrow transplantation JF https://dx.doi.org/10.3390/biomedinformatics3030048 LK http://dx.doi.org/https://doi.org/10.3390/biomedinformatics3030048 DO https://doi.org/10.3390/biomedinformatics3030048 SF ELIB - SuUB Bremen
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