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
29,377 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
- Large Language Modeling
- Treatment Planning
- Precision Medicine
- Patient Treatment
- Deep Learning
- Model Evaluation
- Text Mining
- Medical Science and Research
- Clinical Documentation
- AI Personalization
- Machine Learning
- Statistical Machine Learning
- Feature Engineering
- Statistical Methods
- Statistical Analysis
- Health Informatics
- Machine Learning Methods
- Clinical Trials
- Applied Machine Learning
- 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 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 5, 2020
Building a treatment model and evaluation, take this course to fully understand what to consider. A practical Model for Mediacl Treament
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