Supervised Machine-Learning Model for Early Detection of Non-Suicidal Self-Injury in College Students

We developed and deployed a prototype, an effective prediction model to identify college students at risk of Non-Suicidal Self-Injury (NSSI), utilizing various supervised machine-learning algorithms. The sample was obtained from the records of 4,956 college students who used counseling services. Aft...

The International Journal of Health, Wellness, and Society

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