Today we’re joined by Irene Chen, a Ph.D. student at MIT.
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Irene’s research is focused on developing new machine learning methods specifically for healthcare, through the lens of questions of equity and inclusion. In our conversation, we explore some of the various projects that Irene has worked on, including an early detection program for intimate partner violence.
We also discuss how she thinks about the long term implications of predictions in the healthcare domain, how she’s learned to communicate across the interface between the ML researcher and clinician, probabilistic approaches to machine learning for healthcare, and finally, key takeaways for those of you interested in this area of research.
Connect with Irene!
- Nov ‘20 – Fighting Global Health Disparities with AI w/ Jon Wang – #425
- Feb ‘21 – AI for Digital Health Innovation with Andrew Trister – #455
- Paper: Intimate Partner Violence and Injury Prediction from Radiology Reports
- Paper: Why Is My Classifier Discriminatory?
- Review article: Ethical Machine Learning in Health Care
- Paper: Probabilistic Machine Learning for Healthcare
- Paper: Treating health disparities with artificial intelligence
- MIT Clinical Machine Learning Group
- MIMIC Critical Care Database