Cardiovascular disease detection from high utility rare rule mining
作者：
Highlights：
• Presenting mining high utility rare rules for medical health records data
• Defining the utility factor as the indicator risk towards the medical examination data
• Proposing two-stages method for cardiovascular detection based on the extracted symptom rules
摘要
•Presenting mining high utility rare rules for medical health records data•Defining the utility factor as the indicator risk towards the medical examination data•Proposing two-stages method for cardiovascular detection based on the extracted symptom rules
论文关键词：Cardiovascular disease detection,Rare cardiovascular symptoms,High utility rare itemset,Fuzzy set
论文评审过程：Received 26 November 2021, Revised 21 June 2022, Accepted 30 June 2022, Available online 3 July 2022, Version of Record 11 July 2022.
论文官网地址：https://doi.org/10.1016/j.artmed.2022.102347
