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



Instructors: Pranav Rajpurkar
29,496 already enrolled
542 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
- Statistical Machine Learning
- Machine Learning
- Deep Learning
- Statistical Methods
- Data Analysis
- Large Language Modeling
- Precision Medicine
- Feature Engineering
- Text Mining
- Patient Treatment
- Model Evaluation
- Applied Machine Learning
- Medical Science and Research
- AI Personalization
- Machine Learning Methods
- Clinical Trials
- Treatment Planning
- Statistical Analysis
- Clinical Documentation
- Health Informatics
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Showing 3 of 542
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 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.
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



