Early diagnosis of gastrointestinal cancer by using case-based and rule-based reasoning
作者：
Highlights：
• We present a medical diagnosis decision support model for gastrointestinal cancer.
• The model uses case-based reasoning (CBR) and rule-based reasoning (RBR).
• We used real patient data as inputs to our model.
• The model was validated through K-fold cross validation and the paired t-test.
• Improved diagnosis accuracy compared to a CBR approach not using RBR in retrieval.
摘要
•We present a medical diagnosis decision support model for gastrointestinal cancer.•The model uses case-based reasoning (CBR) and rule-based reasoning (RBR).•We used real patient data as inputs to our model.•The model was validated through K-fold cross validation and the paired t-test.•Improved diagnosis accuracy compared to a CBR approach not using RBR in retrieval.
论文关键词：AI in medical diagnosis,Case based reasoning,Rule based reasoning,Cancer diagnosis,Case retrieval
论文评审过程：Received 14 December 2015, Revised 25 April 2016, Accepted 16 May 2016, Available online 17 May 2016, Version of Record 31 May 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.05.026
