A case-based reasoning system for supervised classification problems in the medical field
作者：
Highlights：
• A Case Based Reasoning system for supervised classification problems.
• New Retrieve, Reuse, Revise and Retain algorithms in the case-based reasoning system.
• New randomization technique to amplify the case base and case base segmentation.
• New algorithms for feature selection and weighting and forrule generation.
• Applying the full approachon mammographic mass and thyroid disease datasets.
摘要
•A Case Based Reasoning system for supervised classification problems.•New Retrieve, Reuse, Revise and Retain algorithms in the case-based reasoning system.•New randomization technique to amplify the case base and case base segmentation.•New algorithms for feature selection and weighting and forrule generation.•Applying the full approachon mammographic mass and thyroid disease datasets.
论文关键词：Case-Based Reasoning (CBR),Case randomization,Case validation,Medical diagnosis,Supervised classification problems
论文评审过程：Received 7 April 2019, Revised 20 February 2020, Accepted 21 February 2020, Available online 24 February 2020, Version of Record 4 March 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.113335
