Thank you! The participants loved it. What a valuable resource! I’d love to contribute data at some point.

Yay!! Thank you!

Apply here: northeastern.wd1.myworkdayjobs.com/careers/job/...

As we look towards the future of ML in mental health research, we hope this paper provides a basic, birds-eye view of existing findings in the literature. 📖🔭
4/4

That being said, several limitations affect our current use of ML for predicting treatment response that would benefit from consideration in future studies (small sample sizes, class imbalances in response outcomes, lack of simple baseline algorithms for benchmarking, etc.).
3/4

Interestingly, ML does a decent job of predicting treatment response (AUC=0.80 & Accuracy=0.76). Studies using biological features (e.g., fMRI) and robust cross-validation strategies reported better predictive performance.
2/4

Yay!!! Celebration time!