An incremental explanation of inference in Bayesian networks for increasing model trustworthiness and supporting clinical decision making
作者：
Highlights：
• Increasing model trustworthiness and supporting clinical decision making, by explaining model’s reasoning.
• Review previous work on explanation of inference in Bayesian networks.
• Propose an efficient algorithm that generates an incremental explanation of inference.
• The explanation algorithm is demonstrated in a real clinical case study.
• A small evaluation study is conducted to compare the generated explanation and clinicians reasoning.
摘要
•Increasing model trustworthiness and supporting clinical decision making, by explaining model’s reasoning.•Review previous work on explanation of inference in Bayesian networks.•Propose an efficient algorithm that generates an incremental explanation of inference.•The explanation algorithm is demonstrated in a real clinical case study.•A small evaluation study is conducted to compare the generated explanation and clinicians reasoning.
论文关键词：Bayesian networks,Explanation of reasoning,Trust,Decision making
论文评审过程：Received 21 August 2019, Revised 29 January 2020, Accepted 30 January 2020, Available online 31 January 2020, Version of Record 13 February 2020.
论文官网地址：https://doi.org/10.1016/j.artmed.2020.101812
