Artwork

Content provided by MIT-IDSS. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by MIT-IDSS or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Data Dilemmas in Health

35:09
 
Share
 

Manage episode 380700361 series 3385229
Content provided by MIT-IDSS. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by MIT-IDSS or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Facing the tough decisions of a serious health threat brings the need for information and analysis into a sharp and personal focus. Computer scientist Regina Barzilay was an expert in natural language processing when she joined MIT; her cancer diagnosis led her to collaborations in healthcare, where she has advanced imaging, prediction, drug discovery, and clinical AI. She joins Munther Dahleh and Liberty Vittert to talk about issues from data collection and privacy to bias and “distributional shift” – when an algorithm is used on a dataset with key differences from the data used to train it.

  continue reading

17 episodes

Artwork
iconShare
 
Manage episode 380700361 series 3385229
Content provided by MIT-IDSS. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by MIT-IDSS or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Facing the tough decisions of a serious health threat brings the need for information and analysis into a sharp and personal focus. Computer scientist Regina Barzilay was an expert in natural language processing when she joined MIT; her cancer diagnosis led her to collaborations in healthcare, where she has advanced imaging, prediction, drug discovery, and clinical AI. She joins Munther Dahleh and Liberty Vittert to talk about issues from data collection and privacy to bias and “distributional shift” – when an algorithm is used on a dataset with key differences from the data used to train it.

  continue reading

17 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide