Delirium-Centric Care; How Prediction Can Inform Clinical Practice
Mayo Clinic
&
Delirium Prediction in Critical Care: Evaluating Machine
Learning-Based Predictive Models
Venet Osmani, Ph.D.
Senior Researcher, Department of Psychology and Cognitive Science
Digital Health Centre at Fondazione Bruno Kessler Research Institute
Friday, September 30th, 2022
8:00 a.m. – 9:00 a.m.
Watch from your computer, phone or tablet.
Participate via Zoom Password: 763588
On Campus Mayo 2-002N, social distancing rules apply
Recording will be available through the Mayo Video Library 48 hours after the lecture.
Disclosure Statement: Dr. Heidi Lindroth and Dr. Venet Osmani have no relevant financial relationships and does not intend to discuss off label / investigational usage of a product.
Learning Objectives:
Delirium-Centric Care; How Prediction Can Inform Clinical Practice
Upon conclusion of this activity, participants should be able to:
- Describe the outcomes associated with delirium
- Summarize how prediction models can inform or direct clinical care
- Evaluate the accuracy of prediction models
Delirium Prediction in Critical Care: Evaluating Machine Learning-Based Predictive Models
Upon conclusion of this activity, participants should be able to:
- Obtain an overview of machine learning methods in critical care
- Analyze challenges in delirium prediction using machine learning methods
- Describe general performance of delirium predictive models, and the impact of the observation and prediction window length
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 session will appear on your Transcript.
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