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
29,325 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
- Machine Learning
- Data Analysis
- Model Evaluation
- Deep Learning
- Precision Medicine
- Clinical Documentation
- Text Mining
- Clinical Trials
- Feature Engineering
- Treatment Planning
- Health Informatics
- AI Personalization
- Statistical Machine Learning
- Statistical Analysis
- Patient Treatment
- Statistical Methods
- Applied Machine Learning
- Large Language Modeling
- Medical Science and Research
- Machine Learning Methods
Details to know

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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 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.



