MIT 6.S897 Machine Learning for Healthcare, Spring 2019 19. Disease Progression Modeling and Subtyping, Part 2
19. Disease Progression Modeling and Subtyping, Part 2 Transcript and Lesson Notes
MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: David Sontag View the complete course: https://ocw.mit.edu/6-S897S19 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyC
Quick Summary
MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: David Sontag View the complete course: https://ocw.mit.edu/6-S897S19 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyC
Key Takeaways
- Review the core idea: MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: David Sontag View the complete course: https://ocw.mit.edu/6-S897S19 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyC
- Understand how 6-s897-machine-learning-for-healthcare-spring-2019 fits into 19. Disease Progression Modeling and Subtyping, Part 2.
- Understand how comorbidities fits into 19. Disease Progression Modeling and Subtyping, Part 2.
- Understand how copd fits into 19. Disease Progression Modeling and Subtyping, Part 2.
- Understand how generative model fits into 19. Disease Progression Modeling and Subtyping, Part 2.
Key Concepts
Full Transcript
MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: David Sontag View the complete course: https://ocw.mit.edu/6-S897S19 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyCTDU1Q5j Prof. Sontag begins with a recap of the goal of disease progression modeling and then discusses staging from cross-sectional data and simultaneous staging and subtyping. License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu
Lesson FAQs
What is 19. Disease Progression Modeling and Subtyping, Part 2 about?
MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: David Sontag View the complete course: https://ocw.mit.edu/6-S897S19 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyC
What key concepts are covered in this lesson?
The lesson covers 6-s897-machine-learning-for-healthcare-spring-2019, comorbidities, copd, generative model, inference.
What should I learn before 19. Disease Progression Modeling and Subtyping, Part 2?
Review the previous lessons in MIT 6.S897 Machine Learning for Healthcare, Spring 2019, then use the transcript and key concepts on this page to fill any gaps.
How can I practice after this lesson?
Practice by applying the main concepts: 6-s897-machine-learning-for-healthcare-spring-2019, comorbidities, copd, generative model.
Does this lesson include a transcript?
Yes. The full transcript is visible on this page in indexable HTML sections.
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