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Dr. Marina Sirota et al. on Big Data Analysis and Preterm Birth Risk Prediction

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Manage episode 371567206 series 3484005
Content provided by March of Dimes. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by March of Dimes 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://podcastplayer.com/legal.

Dr. Marina Sirota, principal investigator at the March of Dimes Prematurity Research Center at the University of California San Francisco, and colleagues Dr. Tomiko Oskotsky and Dr. Jonathan Golob discuss using big data to launch a DREAM Challenge that succeeded in creating two predictive models for preterm birth risk.

  continue reading

23 episodes

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iconShare
 
Manage episode 371567206 series 3484005
Content provided by March of Dimes. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by March of Dimes 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://podcastplayer.com/legal.

Dr. Marina Sirota, principal investigator at the March of Dimes Prematurity Research Center at the University of California San Francisco, and colleagues Dr. Tomiko Oskotsky and Dr. Jonathan Golob discuss using big data to launch a DREAM Challenge that succeeded in creating two predictive models for preterm birth risk.

  continue reading

23 episodes

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