Flash Forward is a show about possible (and not so possible) future scenarios. What would the warranty on a sex robot look like? How would diplomacy work if we couldn’t lie? Could there ever be a fecal transplant black market? (Complicated, it wouldn’t, and yes, respectively, in case you’re curious.) Hosted and produced by award winning science journalist Rose Eveleth, each episode combines audio drama and journalism to go deep on potential tomorrows, and uncovers what those futures might re ...
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Use of Machine Learning to Predict Outcomes in Patients With Sickle Cell Disease Treated
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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
MP3•Pagina episodului
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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1005 episoade
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