This month’s episode focuses on the increasing role of data science in the diagnosis and treatment of mental health disorders. It explores how statistical tools like adaptive testing are being successfully deployed to rapidly identify people with high levels of depression, anxiety or suicide risk. It also examines how the data science community could further improve its efforts to support mental health research and policymaking.
Our guests are Margarita Alegria, Chief of the Disparities Research Unit, Massachusetts General Hospital and Professor, Harvard Medical School and Robert Gibbons, Professor of Biostatistics, Departments of Medicine, Public Health and Psychiatry, University of Chicago and author of Medications and Suicide: High Dimensional Empirical Bayes Screening (iDEAS) for HDSR.
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Healthcare Data: Who Takes Care of it and How Healthy is it?
Are you Disinformed or Misinformed?
The Art and Value of Machine Learning in Valuing Art: Hype or Hope?
Predicting (2021) Oscar Winners: How Crystal is the Statistical Ball?
Tracking the (Money) Balls: How Data Science is Becoming a Game Changer
The Data of Love
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