Adaptive Neuro-Fuzzy Inference Model for Monitoring Hypertension Risk

This study presented a model to classify risk of hypertension using Adaptive Neuro-Fuzzy Inference System (ANFIS). In order develop the cardiologists from teaching hospitals in Nigeria were interviewed so as identify required variables for classification. Structured questionnaires used elicit information about factors and associated respondents. The MATLAB ANFIS Toolbox was simulate model. result this revealed that there 33 main identified monitoring they line with WHO/ISH classification standard. showed majority patients selected had very high (57.0%) which consisted more than 50% followed by 19% representing hypertension, medium hypertension. conclusion, assist healthcare professionals have accurate diagnosis, early detection proper management