An application of case-based reasoning with machine learning for forensic autopsy
作者：
Highlights：
• We modeled the CBR technique of forensic autopsy report preparation.
• The CBR model was coupled with Naïve Bayes learner for feature weight learning and also the outcome prediction.
• Feature weight learning improves the CBR system accuracy.
• The outcome prediction is improved with Naïve Bayes prediction.
摘要
•We modeled the CBR technique of forensic autopsy report preparation.•The CBR model was coupled with Naïve Bayes learner for feature weight learning and also the outcome prediction.•Feature weight learning improves the CBR system accuracy.•The outcome prediction is improved with Naïve Bayes prediction.
论文关键词：Case-based reasoning,Naïve Bayes,Autopsy report system,Decision-support system,Feature-weight learning
论文评审过程：Available online 6 November 2013.
论文官网地址：https://doi.org/10.1016/j.eswa.2013.10.054
