Resources | Machine Learning for Healthcare | Electrical Engineering and Computer Science | MIT OpenCourseWare

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Lecture Videos

Lecture 1: What Makes Healthcare Unique?

Lecture 2: Overview of Clinical Care

Lecture 3: Deep Dive Into Clinical Data

Lecture 4: Risk Stratification, Part 1

Lecture 5: Risk Stratification, Part 2

Lecture 6: Physiological Time-Series

Lecture 7: Natural Language Processing (NLP), Part 1

Lecture 8: Natural Language Processing (NLP), Part 2

Lecture 9: Translating Technology Into the Clinic

Lecture 10: Application of Machine Learning to Cardiac Imaging

Lecture Notes

6.S897 Machine Learning for Healtchare, Lecture 4: Risk Stratification

6.S897 Machine Learning for Healthcare, Lec 5: Risk Stratification Part 2

6.S897 Machine Learning for Healthcare, Lecture 1 Notes

6.S897 Machine Learning for Healthcare, Lecture 1: What makes healthcare unique?

6.S897 Machine Learning for Healthcare, Lecture 10 Notes

6.S897 Machine Learning for Healthcare, Lecture 11 Notes

6.S897 Machine Learning for Healthcare, Lecture 11: Differential Diagnosis

6.S897 Machine Learning for Healthcare, Lecture 12 Notes

6.S897 Machine Learning for Healthcare, Lecture 12: Machine Learning for Pathology

6.S897 Machine Learning for Healthcare, Lecture 13: Machine Learning for Mammography

Course Info

Instructors

Departments

As Taught In

Spring 2019

Level

Graduate

Course Info

Instructors

Departments

As Taught In

Spring 2019

Level

Graduate

Topics

Topics

Learning Resource Types

Lecture Notes

Lecture Videos

Projects

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