Evaluating machine learning for predicting youth suicidal behavior up to 1 year after contact with mental-health specialty care
In this article, we assessed the performance of several predictive modeling algorithms of suicide attempt resulting in inpatient hospitalization or suicide among youths ages 9 to 18 (N = 34,528) after contact (6–12 months) with a mental-health specialist in Stockholm, Sweden, from 2006 to 2012. Usin...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Journal article |
| Language: | English |
| Published: |
SAGE Publications
2024
|