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What is Stress Detection via Sleep Analysis about?

This study investigates human stress detection based on sleeping habits using machine learning algorithms. It employs six different data mining techniques, with the Naïve Bayes algorithm achieving the highest accuracy of 91.27% in classifying stress levels. The research highlights the importance of various sleep-related factors in predicting stress and aims to enhance understanding of the relationship between sleep and stress management.

Author

Vidya

Language

EN