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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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Manage episode 393173922 series 1927383
Contenido proporcionado por Podcasts360. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Podcasts360 o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.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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Get in-depth coverage of current and future trends in technology, and how they are shaping business, entertainment, communications, science, politics, and society.
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continue reading
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continue reading
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