ABSTRACT
This chapter expects to pinpoint the most applicable heart assault hazard factors just as it anticipates the general danger utilizing distinctive AI strategies lastly distinguish the best neural network methods with the “heart disease-UCI” dataset. Furthermore, we performed this performance evaluation using Google Research Colab. In addition, we analyzed different optimization algorithm and test functions finally added its survey. Furthermore, we utilized machine learning to choose the best calculation for foreseeing heart diseases. Different measures, for example, accuracy, recall, f-measure, and precision, were utilized to test our proposed framework, assessing that the proposed procedure outperforms different models. Finally, IoT-based smart watch drone healthcare framework likewise created utilizing Arduino.
