A hybrid model based on modular neural networks and fuzzy systems for classification of blood pressure and hypertension risk diagnosis

作者：

Highlights：

• A hybrid model using modular neural networks and fuzzy logic was designed.

• Risk of hypertension diagnosis of a person is obtained with the model.

• Hybrid systems for this kind of complex problems have excellent performance.

• Fuzzy logic helps model uncertainty in decision process of diagnosis.

摘要

•A hybrid model using modular neural networks and fuzzy logic was designed.•Risk of hypertension diagnosis of a person is obtained with the model.•Hybrid systems for this kind of complex problems have excellent performance.•Fuzzy logic helps model uncertainty in decision process of diagnosis.

论文关键词：Hypertension,Blood pressure,ABPM,Modular neural network,Fuzzy systems

论文评审过程：Received 20 August 2017, Revised 20 April 2018, Accepted 21 April 2018, Available online 25 April 2018, Version of Record 1 May 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.04.023