Prediction algorithm for deviation trend of college students' mental health development
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College of Pharmacy,Xi'an Medical College,Xi'an Shaanxi 710021,China

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    Abstract:

    When college students are under excessive psychological stress, they may experience severe psychological problems, necessitating effective methods to predict their mental health development. Based on this, the prediction algorithm is studied for the deviation trend of college students' mental health development. By quantifying college students' psychological data through weighted association rules and characterizing the development trend of psychological data using a multi-edge neighborhood matrix, the prediction of the deviation in the mental health development trend of college students is achieved based on the autocorrelation function, completing the design of the prediction method. Experimental results show that, using different stress events as test content affecting the mental health development of college students and comparing predictions through mean absolute error, mean squared error, and root mean squared error, the new method can achieve trend prediction with minimal error, with error values all below 0.1. This method can ensure an accurate judgment of the mental health development of college students and has practical application value.

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袁欣,魏丰.大学生心理健康发展偏差趋势预测算法[J]. Journal of Terahertz Science and Electronic Information Technology ,2025,23(3):302~307

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History
  • Received:October 07,2023
  • Revised:December 01,2023
  • Adopted:
  • Online: March 27,2025
  • Published: