The NIH Collaboratory is pleased to announce that the third episode of the Grand Rounds podcast is posted. In this episode, Dr. Greg Simon discusses the Suicide Prevention Outreach Trial (SPOT), and its implications for machine learning in predicting suicide attempts and deaths. Dr. Simon describes how the use of computer algorithms to identify specific variables can help predict certain outcomes. In the SPOT trial, responses given on the PHQ-9 Depression Questionnaire were used to predict future suicide attempts, and therefore prevent them. Dr. Simon also discusses with moderator Lesley Curtis how machine learning may be expanded into broader clinical areas.
Listen to the episode here:
- Dr. Greg Simon, Kaiser Permanente Washington Health Research Institute, Bringing Machine Learning to the Point of Care to Improve Suicide Prevention
At least once a month, we will release interviews with Grand Rounds speakers that delve into their topic of interest and give listeners bonus time with these featured experts.
Please let us know what you think by providing your feedback through the podcast page. We also encourage you to listen and share the recordings with your colleagues!