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 stars77.47%
- 4 stars15.90%
- 3 stars4.13%
- 2 stars1.44%
- 1 star1.03%
TOP REVIEWS FROM AI FOR MEDICAL TREATMENT
A bit tough, but well laid and well explained.Overall the entire specialization was very good. However it misses in depth theory . But overall a very good course with practical applications
This is a valuable course, encompassing several branches of applied AI in medicine. It worths the effort to take it!
Great Course overall, I felt that week-1 is a bit theoretical rest is fine. Glad to learn about the interpretation of models.
A very important course. Only 4 points, because at many points I had a feeling that many things were abstracted away, and am not sure whether I'd be able to replicate them on my own.
About the AI for Medicine Specialization

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