@inproceedings{fddb9b5bb38d4fc1917bda940d39eb11,
title = "Extracting Surrogate Decision Trees from Black-Box Models to Explain the Temporal Importance of Clinical Features in Predicting Kidney Graft Survival",
keywords = "Explainable AI, Kidney transplantation, Surrogate modelling",
author = "Jaber Rad and Tennankore, {Karthik K.} and Amanda Vinson and Abidi, {Syed Sibte Raza}",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 20th International Conference on Artificial Intelligence in Medicine, AIME 2022 ; Conference date: 14-06-2022 Through 17-06-2022",
year = "2022",
doi = "10.1007/978-3-031-09342-5_9",
language = "English",
isbn = "9783031093418",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "88--98",
editor = "Martin Michalowski and Abidi, {Syed Sibte Raza} and Samina Abidi",
booktitle = "Artificial Intelligence in Medicine - 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Proceedings",
address = "Germany",
}