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: Eddy Shyu
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Access provided by Santhigiri College of Computer Sciences
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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 Methods
- Statistical Machine Learning
- Treatment Planning
- Statistical Analysis
- Feature Engineering
- Text Mining
- Machine Learning
- Clinical Trials
- AI Personalization
- Medical Science and Research
- Deep Learning
- Statistical Methods
- Data Analysis
- Precision Medicine
- Patient Treatment
- Applied Machine Learning
- Clinical Documentation
- Model Evaluation
- Large Language Modeling
- Health Informatics
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Showing 3 of 544
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
Reviewed on Jun 6, 2020
Great Course overall, I felt that week-1 is a bit theoretical rest is fine. Glad to learn about the interpretation of models.
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