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Predicting suicide attempt or suicide death following a visit to psychiatric specialty care: A machine learning study using Swedish national registry data.

Qi ChenYanli Zhang-JamesEric J BarnettPaul LichtensteinJussi JokinenBrian M D'OnofrioStephen V FaraoneHenrik LarssonSeena Fazel
Published in: PLoS medicine (2020)
By combining the ensemble method of multiple machine learning algorithms and high-quality data solely from the Swedish registers, we developed prognostic models to predict short-term suicide attempt/death with good discrimination and calibration. Whether novel predictors can improve predictive performance requires further investigation.
Keyphrases
  • machine learning
  • big data
  • artificial intelligence
  • electronic health record
  • quality improvement
  • healthcare
  • deep learning
  • palliative care
  • mental health
  • pain management
  • convolutional neural network