Explainable artificial intelligence for breast cancer: A visual case-based reasoning approach

作者：

Highlights：

• Case-Based Reasoning (CBR) classifies a new patient on the basis of older, known, patients.

• Most medical CBR approaches are black-box algorithms.

• We propose a visual approach for CBR, mixing quantitative and qualitative aspects.

• Our approach can also be executed as an automatic algorithm.

摘要

•Case-Based Reasoning (CBR) classifies a new patient on the basis of older, known, patients.•Most medical CBR approaches are black-box algorithms.•We propose a visual approach for CBR, mixing quantitative and qualitative aspects.•Our approach can also be executed as an automatic algorithm.

论文关键词：Case-based reasoning,Visual explanation,Explainable Artificial Intelligence,Data-driven decision making,Multidimensional Scaling,Breast cancer

论文评审过程：Received 10 August 2018, Revised 21 December 2018, Accepted 7 January 2019, Available online 14 January 2019, Version of Record 25 January 2019.

论文官网地址：https://doi.org/10.1016/j.artmed.2019.01.001