Posted By CluztersOps1April 8, 2021190 views 0 likes
Machine learning and artificial intelligence hold the potential to transform healthcare and open up a world of incredible promise. But we will never realize the potential of these technologies unless all stakeholders have basic competencies in both healthcare and machine learning concepts and... moreMachine learning and artificial intelligence hold the potential to transform healthcare and open up a world of incredible promise. But we will never realize the potential of these technologies unless all stakeholders have basic competencies in both healthcare and machine learning concepts and principles.
This course will introduce the fundamental concepts and principles of machine learning as it applies to medicine and healthcare. We will explore machine learning approaches, medical use cases, metrics unique to healthcare, as well as best practices for designing, building, and evaluating machine learning applications in healthcare. The course will empower those with non-engineering backgrounds in healthcare, health policy, pharmaceutical development, as well as data science with the knowledge to critically evaluate and use these technologies.MODULES:
Why machine learning in healthcare?
Concepts and Principles of machine learning in healthcare part 1
Concepts and Principles of machine learning in healthcare part 2
Evaluation and Metrics for machine learning in healthcare
Strategies and Challenges in Machine Learning in Healthcare
Best practices, teams, and launching your machine learning journey
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