Predicting suicide attempts among people with diabetes using a large multicenter electronic health records dataset.

To our knowledge, this is the first study using LASSO regression to identify risk factors for suicide attempts and diabetes. The shrinkage technique successfully reduced the number of variables in the model to improve overfitting. Further research is needed to study cause-and-effect relationships. The results may help providers identify high-risk groups of suicide attempters among diabetes patients.