Development of a fuzzy expert system for the nephropathy control assessment in patients with type 2 diabetes mellitus

作者：

Highlights：

• A fuzzy expert system to assess the nephropathy control is proposed.

• The success rate of the fuzzy expert system is 93.33%.

• The use of this system allows reduce the lack of control and wrong treatments.

• The system would be useful if it is adapted to the diagnosis of other pathologies.

• Recognition of predictor variables of lack of control avoid irreversible damage in kidneys.

摘要

•A fuzzy expert system to assess the nephropathy control is proposed.•The success rate of the fuzzy expert system is 93.33%.•The use of this system allows reduce the lack of control and wrong treatments.•The system would be useful if it is adapted to the diagnosis of other pathologies.•Recognition of predictor variables of lack of control avoid irreversible damage in kidneys.

论文关键词：Fuzzy expert system,Response surface,Expertise,Nephropathy control,Type 2 diabetes mellitus,ANN,Artificial neural networks,CIs,confidence intervals,CPG,clinical practice guidelines,ES,Expert system (s),ESRD,End-stage renal disease,FES,Fuzzy expert system,FL,Fuzzy logic,GFR,Glomerular filtration rate,T2DM,Type 2 diabetes mellitus,T1DM,Type 1 diabetes mellitus,T2DMA,Type 2 diabetes mellitus age

论文评审过程：Received 7 June 2016, Revised 26 September 2016, Accepted 24 October 2016, Available online 25 October 2016, Version of Record 2 January 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.10.053