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.
AI For Medical Treatment

AI For Medical Treatment
This course is part of AI for Medicine Specialization



Instructors: Pranav Rajpurkar
29,255 already enrolled
540 reviews
Recommended experience
What you'll 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'll gain
- Machine Learning Methods
- Treatment Planning
- Natural Language Processing
- AI Personalization
- Model Evaluation
- Machine Learning
- Applied Machine Learning
- Statistical Analysis
- Deep Learning
- Clinical Trials
- Large Language Modeling
- Health Informatics
- Feature Engineering
- Patient Treatment
- Precision Medicine
- Text Mining
- Data Analysis
- Clinical Documentation
Details to know

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Reviewed on Dec 7, 2020
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
Reviewed on Jun 23, 2020
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
Reviewed on Jun 7, 2020
Fantastic coursework teaching fundamentals required for analysis of medical domain data. Quality content with great assignments. Level of difficulty is intermediate for the assignments.

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