Ante- and Post-Hoc Explanations for Prediction Models of Cisplatin-Induced Acute Kidney Injury: A Comparative Study

Tatsuya Nishizawa, Shogo Hanabusa, Yoshitaka Kameya, Kazuo Takahashi, Naotake Tsuboi, Tomohiro Mizuno

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

抄録

Whereas cisplatin is considered as an effective anticancer drug, it can cause cisplatin-induced acute kidney injury (Cis-AKI) as a side-effect. We trained a prediction model of Cis-AKI to predict the incidence of Cis-AKI using Generalized Additive Models (GAMs) and GAMs plus Interactions (GA2Ms), which can provide us with ante-hoc (or model-based) explanations for their decisions. Furthermore, we trained XGBoost and used SHapley Additive exPlanations (SHAP) in order to obtain post-hoc explanations. We then compared these ante-hoc and post-hoc explanation methods in terms of consistency with current medical insights on Cis-AKI.

本文言語英語
ホスト出版物のタイトルICMHI 2023 - 2023 the 7th International Conference on Medical and Health Informatics
出版社Association for Computing Machinery
ページ66-71
ページ数6
ISBN(電子版)9798400700712
DOI
出版ステータス出版済み - 12-05-2023
イベント7th International Conference on Medical and Health Informatics, ICMHI 2023 - Kyoto, 日本
継続期間: 12-05-202314-05-2023

出版物シリーズ

名前ACM International Conference Proceeding Series

会議

会議7th International Conference on Medical and Health Informatics, ICMHI 2023
国/地域日本
CityKyoto
Period12-05-2314-05-23

All Science Journal Classification (ASJC) codes

  • 人間とコンピュータの相互作用
  • コンピュータ ネットワークおよび通信
  • コンピュータ ビジョンおよびパターン認識
  • ソフトウェア

引用スタイル