Presenter: Jaideep Srivastava
Professor of Computer Science
University of Minnesota
Learning Objectives:
- Identify trends in big data and artificial intelligence (AI)/machine learning (ML) that are increasingly relevant to healthcare.
- Recognize the limitations of classical analysis approaches to the new kinds of data.
- Describe how emerging analysis methods, based on machine learning, are showing promise.
- Demonstrate the promise of new methods through specific examples.
- Summarize our work in the area, and comment on future potential.
For disclosure information regarding Mayo Clinic School of Continuous Professional Development accreditation review committee member(s), please go here.
ATTENDANCE/CREDIT
Text the session code (provided only at the session) to 507-200-3010 within 48 hours of the live presentation to record attendance. All learners are encouraged to text attendance regardless of credit needs. This number is only used for receiving text messages related to tracking attendance. Additional tasks to obtain credit may be required based on the specific activity requirements and will be announced accordingly. Swiping your badge will not provide credit; that process is only applicable to meet GME requirements for Residents & Fellows.
TRANSCRIPT
Any credit or attendance awarded from this series will appear on your Transcript.

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