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
29,326 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
- Patient Treatment
- Feature Engineering
- Clinical Documentation
- Clinical Trials
- Statistical Methods
- Model Evaluation
- Statistical Analysis
- Text Mining
- Data Analysis
- Machine Learning Methods
- Machine Learning
- Precision Medicine
- Medical Science and Research
- Large Language Modeling
- Health Informatics
- Applied Machine Learning
- Treatment Planning
- Statistical Machine Learning
- AI Personalization
- Deep Learning
Details to know

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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
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.




