The challenges in the design of a smart healthcare system, such as increasing system 
complexity, which lead to higher energy consumption and design costs are discussed 
in this paper.Based on 
the use of the model proposed in this study, an IoT-based CE device can be imple
mented in the future to predict various pathological conditions of diseases, thereby improving the healthcare systemWe used our model to predict the pathological conditions of cardiovascu
lar diseases and compared our results with those obtained using various other mod
els.In addition, a reduction in the execution 
time in comparison with other methods, such as DT, NB, K-NN, and SVM, can be 
achieved.In this study, we propose the FPGA implementation of a fuzzy clas
sifier for IoT-based healthcare systems.To overcome these drawbacks, various new computing methods are 
being designed.These systems can be used to predict patho
logical conditions with improved accuracy.The results reveal that the proposed model yields the best outcome.