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Making Machine Learning Models Clinically Useful with Dr. Karandeep Singh
Manage episode 348595192 series 3422068
Innehåll tillhandahållet av AMIA Clinical Informatics Fellows (ACIF). Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av AMIA Clinical Informatics Fellows (ACIF) eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.
In this episode, podcast co-hosts Mackenzie Hofford (2nd year CI fellow, Washington University in St. Louis), Ed Kalpas (2nd year CI fellow, HonorHealth), and Jayson Marwaha (informatics postdoc, Harvard Medical School) chat with Dr. Karandeep Singh about responsible development, implementation, and evaluation of machine learning models in the context of his recent work examining the Epic Sepsis Model. Dr. Singh is an Assistant Professor of Learning Health Sciences, Internal Medicine, Urology, and Information at the University of Michigan, and is a widely-recognized leader in bringing machine learning models to the bedside.Links to Dr. Singh's recent work:- JAMA Internal Medicine paper on the Epic Sepsis Model: https://bit.ly/3pgP6Yd- R/Medicine Conference Keynote Speech (Aug 2021): https://youtu.be/l71wLKUr26E
Click here for more information about the AMIA Clinical Informatics Fellows (ACIF)!
LinkedIn: https://www.linkedin.com/company/acifellows/
Twitter: https://twitter.com/ACIFellows
Website: https://amia.org/communities/amia-clinical-informatics-fellows-acif
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