Irene Chen

30 things I learned at MLHC 2017

22 Aug 2017

This past weekend, I learned a lot about machine learning and healthcare at MLHC 2017. Here are 30 thoughts and findings that I could squeeze into bullet points.

Please excuse (and contact me about) any errors in summarization or attribution.

What’s special about healthcare?

Interpretability is important

Healthcare includes hospital operations

Reinforcement learning making moves

Computer vision victories

Creative approaches

Miscellaneous ML methods

Odds and ends


Comments? Questions? Did I forget anything?

Email me at iychen@mit.edu or comment below!

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