After participating in this educational activity, attendees should be able to:
1.| Identify current and potential applications for machine learning algorithms
2.| Determine appropriate machine learning algorithms for different applications
3.| Assess for pitfalls and potential biases in medical machine learning papers
Ryan D. Kindle, MD
Baystate Medical Center
The design and content of Baystate Continuing Interprofessional Education ( CE ) activities support quality improvement in healthcare and provide fair and balanced views of therapeutic options. Faculty or planner conflicts of interest are resolved before the educational activity.
None of the planners for this educational activity have relevant financial relationship(s) to disclose with ineligible companies whose primary business is producing, marketing, selling, re-selling, or distributing healthcare products used by or on patients.
- 1.00 AMA PRA Category 1 Credit™
- 1.00 ANCC Contact Hours
- 1.00 BCIPE Instructional Hours