Publications by authors named "Xiaowan Zou"

Article Synopsis
  • - The study aimed to simplify the Symptom Checklist-90 (SCL-90) by reducing its dimensions and item count, using machine learning techniques to maintain its effectiveness and practicality across various settings.
  • - By employing the Support Vector Classification (SVC) algorithm, researchers managed to condense the original ten dimensions to four and cut the item count from 90 to 29, achieving a high accuracy of 89.50% and individual dimension accuracies over 90%.
  • - The streamlined SCL-90 significantly reduced assessment time by 67.78% while maintaining a strong reliability coefficient of 0.95 and did not compromise the effectiveness of psychological assessments.
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