SCCM Resource Library-Reinforcement Learning

Video Transcription

Video Summary

The video transcript is a presentation on reinforcement learning in the healthcare domain. The speaker, an intensivist, explains the concept of reinforcement learning and its applications in various fields like gaming, robotics, and self-driving cars. Reinforcement learning trains an algorithm to predict the best action given a certain state in a dynamic environment. However, the healthcare domain presents unique challenges, as outcomes are confounded by factors that may not be captured in electronic health records. The presentation also discusses different types of machine learning, such as supervised learning, unsupervised learning, and reinforcement learning. The speaker emphasizes the importance of understanding the limitations and biases in real-world data when developing AI models for healthcare. They also highlight the need for diversity and inclusion in research to address health disparities and create more equitable solutions. The presentation concludes with an invitation to submit to a new journal and a call to build cognitive diversity and learn together.

Asset Subtitle

Professional Development and Education, 2022

Asset Caption

Hear from past SCCM presidents as they share their experience and wisdom about critical care and SCCM.

Meta Tag

Content Type Presentation

Knowledge Area Professional Development and Education

Knowledge Level Intermediate

Knowledge Level Advanced

Membership Level Select

Tag Medical Education

Year 2022

Keywords

reinforcement learning

healthcare domain

applications

machine learning

limitations and biases

diversity and inclusion

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