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Use of Machine Learning to Predict Outcomes in Patients With Sickle Cell Disease Treated
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.
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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.
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1001 episoade
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Similar cu Podcasts360
Get in-depth coverage of current and future trends in technology, and how they are shaping business, entertainment, communications, science, politics, and society.
…
continue reading
Artificial Intelligence has suddenly gone from the fringes of science to being everywhere. So how did we get here? And where's this all heading? In this new series of Science Friction, we're finding out.
…
continue reading
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…
continue reading
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…
continue reading
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continue reading
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continue reading
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…
continue reading
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