كتاب إلكتروني
Extracting Surrogate Decision Trees from Black-Box Models to Explain the Temporal Importance of Clinical Features in Predicting Kidney Graft Survival
| العنوان: | Extracting Surrogate Decision Trees from Black-Box Models to Explain the Temporal Importance of Clinical Features in Predicting Kidney Graft Survival |
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| المؤلفون: | Rad, JaberAff10, Tennankore, Karthik K.Aff11, Vinson, AmandaAff11, Abidi, Syed Sibte RazaAff10 |
| المساهمون: | Goos, Gerhard, Founding EditorAff1, Hartmanis, Juris, Founding EditorAff2, Bertino, Elisa, Editorial Board MemberAff3, Gao, Wen, Editorial Board MemberAff4, Steffen, Bernhard, Editorial Board MemberAff5, Yung, Moti, Editorial Board MemberAff6, Michalowski, Martin, editorAff7, Abidi, Syed Sibte Raza, editorAff8, Abidi, Samina, editorAff9 |
| المصدر: | Artificial Intelligence in Medicine : 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Halifax, NS, Canada, June 14–17, 2022, Proceedings. 13263:88-98 |
| قاعدة البيانات: | Springer Nature eBooks |
| ردمك: | 9783031093418 9783031093425 |
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| DOI: | 10.1007/978-3-031-09342-5_9 |