Machine Learning for Equitable Healthcare Outcomes with Irene Chen - #479

Machine Learning for Equitable Healthcare Outcomes with Irene Chen - #479

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.

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Checking in with the Master w/ Garry Kasparov - TWiML Talk #140

Checking in with the Master w/ Garry Kasparov - TWiML Talk #140

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Exploring AI-Generated Music with Taryn Southern - TWiML Talk #139

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Practical Deep Learning with Rachel Thomas - TWiML Talk #138

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Kinds of Intelligence w/ Jose Hernandez-Orallo - TWiML Talk #137

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Epsilon Software for Private Machine Learning with Chang Liu - TWiML Talk #135

Epsilon Software for Private Machine Learning with Chang Liu - TWiML Talk #135

In this episode, our final episode in the Differential Privacy series, I speak with Chang Liu, applied research scientist at Georgian Partners, a venture capital firm that invests in growth stage busi...

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Differential Privacy at Bluecore with Zahi Karam - TWiML Talk #133

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