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Use of Machine Learning to Predict Outcomes in Patients With Sickle Cell Disease Treated

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Content provided by Podcasts360. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Podcasts360 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://ro.player.fm/legal.
In this podcast, Nirmish Shah, MD, discusses using machine learning and leveraging data analysis to make patient predictions about pain and readmission, to use interventions to minimize complications. Dr Shah’s team presented research on this topic titled “Use of Machine Learning to Predict 30-Day Reutilization of Care for Patients with Sickle Cell Disease Treated for Vaso-Occlusive Crisis” at the American Society of Hematology’s 2023 annual meeting in San Diego, CA.
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1005 episoade

Artwork
iconDistribuie
 
Manage episode 393173922 series 1927383
Content provided by Podcasts360. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Podcasts360 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://ro.player.fm/legal.
In this podcast, Nirmish Shah, MD, discusses using machine learning and leveraging data analysis to make patient predictions about pain and readmission, to use interventions to minimize complications. Dr Shah’s team presented research on this topic titled “Use of Machine Learning to Predict 30-Day Reutilization of Care for Patients with Sickle Cell Disease Treated for Vaso-Occlusive Crisis” at the American Society of Hematology’s 2023 annual meeting in San Diego, CA.
  continue reading

1005 episoade

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