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1 Ergebnisse
1
Machine learning explainability in breast cancer survival:
Jansen, Tom
;
Geleijnse, Gijs
;
van Maaren, Marissa
...
https://research.vu.nl/en/publications/39f37763-34d6-49e6-b899-df9c891d1380. , 2020
Link:
https://research.vu.nl/en/publications/39f37763-34d6-4..
RT Journal T1
Machine learning explainability in breast cancer survival
UL https://suche.suub.uni-bremen.de/peid=base-ftvuamstcris:oai:research.vu.nl:publications_39f37763-34d6-49e6-b899-df9c891d1380&Exemplar=1&LAN=DE A1 Jansen, Tom A1 Geleijnse, Gijs A1 van Maaren, Marissa A1 Hendriks, Mathijs P A1 Ten Teije, Annette A1 Moncada-Torres, Arturo PB IOS Press YR 2020 K1 Artificial Intelligence K1 Interpretability K1 Oncology K1 Prediction model K1 /dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being K1 name=SDG 3 - Good Health and Well-being JF https://research.vu.nl/en/publications/39f37763-34d6-49e6-b899-df9c891d1380 LK http://dx.doi.org/https://research.vu.nl/en/publications/39f37763-34d6-49e6-b899-df9c891d1380 DO https://research.vu.nl/en/publications/39f37763-34d6-49e6-b899-df9c891d1380 SF ELIB - SuUB Bremen
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