Analyzing Perceived Psychological and Social Stress of University Students: A Machine Learning Approach.

ABSTRACT: The COVID-19 pandemic has worsened the psychological and social stress levels of university students due to physical illness, enhanced dependence on mobile devices and internet, a lack of social activities, and home confinement. Therefore, early stress detection is crucial for their successful academic performance and mental well-being. The advent of machine learning (ML)-based prediction models can have a crucial impact in predicting stress at its early stages and taking necessary steps for the well-being of individuals. This study aims to develop a reliable machine learning-based prediction model for perceived stress prediction and validate the model using real-world data collected through an online survey among 444 university students from different ethnicity. The machine learning model

SUBMITTER: Ratul IJ 

PROVIDER: S-EPMC10266890 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature