AI is transforming the practice of medicine. It’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments. This Specialization will give you practical experience in applying machine learning to concrete problems in medicine.
This course is part of the AI for Medicine Specialization
Offered By


About this Course
We recommend first completing Course 1 and 2 of the AI For Medicine Specialization.
What you will learn
Estimate treatment effects using data from randomized control trials
Explore methods to interpret diagnostic and prognostic models
Apply natural language processing to extract information from unstructured medical data
Skills you will gain
- treatment effect estimation
- machine learning interpretation
- Random Forest
- natural language entity extraction
- question-answering
We recommend first completing Course 1 and 2 of the AI For Medicine Specialization.
Offered by
Syllabus - What you will learn from this course
Treatment Effect Estimation
Medical Question Answering
ML Interpretation
Reviews
- 5 stars77.61%
- 4 stars15.81%
- 3 stars4.10%
- 2 stars1.43%
- 1 star1.02%
TOP REVIEWS FROM AI FOR MEDICAL TREATMENT
The assignment for the first week was out of scope for the course in my opinion. It was too much focused on a good handling of pandas which is rather difficult for people who are not experts in pandas
Learned a lot about interpretations of both machine learning and deep learning models. Introduction to basic NLP techniques was a great start too. The overall course is really good.
Programming assignments really contributed to the understanding of the material. Succinctly presented. Liked the course, thank you!
Great Course overall, I felt that week-1 is a bit theoretical rest is fine. Glad to learn about the interpretation of models.
About the AI for Medicine Specialization

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