Article

Predicting self-harm at one year in female prisoners: a retrospective cohort study using machine learning

2023-09-22

Abstract excerpt

<h4>Background</h4> Self-harm and suicide are relatively overrepresented in incarcerated populations, especially in female prisons. Identifying those most at risk of significant self-harm could provide opportunities for effective, targeted interventions. <h4>Aims</h4> To develop and validate a machine learning-based algorithm capable of achieving a clinically useful level of accuracy when predicting the risk of se...

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Literature Corpus work: 5f4a785e-7e85-53cd-9e4e-279dbf7b87ea
DOI: 10.1101/2023.09.20.23295770

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