STRESS PREDICTION USING ANFIS AND PSO ALGORITHM

ABSTRACT

This study effectively developed and assessed a variety of machine learning models for stress level prediction, showing that the ANFIS-PSO hybrid model and more conventional models (Decision Trees, Random Forests, and SVM) achieve good accuracy and reliability. These results underline the possibility of integrating these models for real-time stress management and monitoring into healthcare systems, which might have a major positive impact on early intervention and overall wellbeing.