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Machine Learning for Equitable Healthcare Outcomes with Irene Chen - #479
Manage episode 291121372 series 2355587
Today we’re joined by Irene Chen, a Ph.D. student at MIT.
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.
The complete show notes for this episode can be found at https://twimlai.com/go/479.
767 에피소드
Machine Learning for Equitable Healthcare Outcomes with Irene Chen - #479
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Manage episode 291121372 series 2355587
Today we’re joined by Irene Chen, a Ph.D. student at MIT.
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.
The complete show notes for this episode can be found at https://twimlai.com/go/479.
767 에피소드
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