Performance analysis of classification algorithms on early detection of liver disease
作者：
Highlights：
• In this research UCI Indian Liver Patient Dataset (ILPD) used.
• Boosted C5.0 and CHAID algorithms are used to identify liver disease risk factors.
• This research shows females have more chance of liver disease than males.
• Common risk factors of liver disease were extracted by data mining.
• This research produced quite simple rules.
摘要
•In this research UCI Indian Liver Patient Dataset (ILPD) used.•Boosted C5.0 and CHAID algorithms are used to identify liver disease risk factors.•This research shows females have more chance of liver disease than males.•Common risk factors of liver disease were extracted by data mining.•This research produced quite simple rules.
论文关键词：Liver disease,C5.0 algorithm,Boosting technique,CHAID algorithm,Data mining,Classification
论文评审过程：Received 31 March 2016, Revised 26 August 2016, Accepted 26 August 2016, Available online 31 August 2016, Version of Record 4 October 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.08.065
