DiscoverGo Live#S3E7: Making Machine Learning Models Clinically Useful with Dr. Karandeep Singh
#S3E7: Making Machine Learning Models Clinically Useful with Dr. Karandeep Singh

#S3E7: Making Machine Learning Models Clinically Useful with Dr. Karandeep Singh

Update: 2021-11-29
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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
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#S3E7: Making Machine Learning Models Clinically Useful with Dr. Karandeep Singh

#S3E7: Making Machine Learning Models Clinically Useful with Dr. Karandeep Singh

ACIF / Chase Parsons