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
Access provided by Barbados NTI
29,379 already enrolled
541 reviews
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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
- Treatment Planning
- Applied Machine Learning
- Clinical Documentation
- Statistical Analysis
- Patient Treatment
- Medical Science and Research
- Text Mining
- Precision Medicine
- Feature Engineering
- Statistical Methods
- Deep Learning
- Clinical Trials
- Machine Learning
- AI Personalization
- Large Language Modeling
- Machine Learning Methods
- Statistical Machine Learning
- Model Evaluation
- Health Informatics
- Data Analysis
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Reviewed on Nov 14, 2020
State of the art applications of machine learning and causal inference in the field. Great update to my skills and data scientist.
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 6, 2020
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.
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