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Massachusetts Institute of Technology via YouTube Video playlist

MIT 6.S897 Machine Learning for Healthcare, Spring 2019

Overview

Instructors: David Sontag, Peter Szolovits

View the complete course: https://ocw.mit.edu/6-S897S19

Introduces students to machine learning in healthcare, the nature of clinical data, and the use of machine learning for risk stratification, disease progression modeling, precision medicine, diagnosis, subtype discovery, and improving clinical workflows.

License: Creative Commons BY-NC-SA

More information at https://ocw.mit.edu/terms

More courses at https://ocw.mit.edu

Videos in this playlist 25

  1. 1. What Makes Healthcare Unique?
  2. 2. Overview of Clinical Care
  3. 3. Deep Dive Into Clinical Data
  4. 4. Risk Stratification, Part 1
  5. 5. Risk Stratification, Part 2
  6. 6. Physiological Time-Series
  7. 7. Natural Language Processing (NLP), Part 1
  8. 8. Natural Language Processing (NLP), Part 2
  9. 9. Translating Technology Into the Clinic
  10. 10. Application of Machine Learning to Cardiac Imaging
  11. 11. Differential Diagnosis
  12. 12. Machine Learning for Pathology
  13. 13. Machine Learning for Mammography
  14. 14. Causal Inference, Part 1
  15. 15. Causal Inference, Part 2
  16. 16. Reinforcement Learning, Part 1
  17. 17. Reinforcement Learning, Part 2
  18. 18. Disease Progression Modeling and Subtyping, Part 1
  19. 19. Disease Progression Modeling and Subtyping, Part 2
  20. 20. Precision Medicine
  21. 21. Automating Clinical Work Flows
  22. 22. Regulation of Machine Learning / Artificial Intelligence in the US
  23. 23. Fairness
  24. 24. Robustness to Dataset Shift
  25. 25. Interpretability

Advantages and disadvantages

Advantages

  • Free and complete: every lecture is in the playlist, in order.
  • Watch at 1.5x, skip what you know, rewatch what you don't.
  • Taught by Massachusetts Institute of Technology, one of the strongest names in its field.
  • 193,959 views, so help and notes are easy to find.
  • Completely free.
  • Self-paced: start any time.
  • A clear syllabus (25 videos) you can see before you start.
  • Start watching right away, no sign-up.

Disadvantages

  • No certificate, deadlines or graded work.
  • Quality and depth vary: check that the playlist is finished before you start.
  • No certificate.
  • No graded assignments or feedback.
  • Recorded in 2020: tools may have changed since.

Some points apply to every course of this kind; see how we rank.

Free

  • Free: Watch on YouTube, no account needed.
  • Certificate: None. Code or take notes along to make it stick.

Massachusetts Institute of Technology is in Tier 1: world-leading universities and India's top institutes of our institution ranking (98/100). OpenCourseWare is the gold standard for free university material.

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