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: Eddy Shyu
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29,701 already enrolled
545 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
- Clinical Trials
- Precision Medicine
- Applied Machine Learning
- Text Mining
- Deep Learning
- Statistical Methods
- Data Analysis
- Model Evaluation
- Patient Treatment
- Feature Engineering
- AI Personalization
- Medical Science and Research
- Treatment Planning
- Statistical Analysis
- Machine Learning Methods
- Statistical Machine Learning
- Machine Learning
- Clinical Documentation
- Health Informatics
- Large Language Modeling
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Showing 3 of 545
Reviewed on Jun 26, 2020
Excellent course and the specialization. I feel like I participated in a research project. Learned much, and have cool notebooks to revisit at depth.
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
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




