# Use of childhood adversity and mental health admission patterns to predict suicide in young people

## TL;DR

The study shows that mental health admissions and childhood adversity can help predict suicide risk in young people.

## Contribution

The study identifies mental health admissions as a strong predictor of suicide risk in young people.

## Key findings

- Mental health admissions are a strong predictor of suicide risk in young people.
- The findings can improve machine learning models for predicting suicide risk.

## Abstract

Dougall et al found that mental health admissions are a strong predictor of suicide risk in young people. The findings can improve machine learning models for predicting suicide risk. Limitations of machine learning models include recent changes in healthcare use patterns during the COVID-19 pandemic and poor long-term predictive value.