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
This course is part of AI for Medicine Specialization



Instructors: Pranav Rajpurkar
Access provided by SGCSRC
27,826 already enrolled
(528 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
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There are 3 modules in this course
In this week, you will learn: How to analyze data from a randomized control trial, interpreting multivariate models, evaluating treatment effect models, and interpreting ML models for treatment effect estimation.
What's included
12 videos4 readings1 assignment1 programming assignment3 ungraded labs
In this week, you will learn how to extract disease labels from clinical reports, and also question answering with BERT.
What's included
10 videos1 assignment1 programming assignment3 ungraded labs
In this week, you will learn how to interpret deep learning models, and also feature importance in machine learning.
What's included
9 videos4 readings1 assignment1 programming assignment3 ungraded labs
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Reviewed on May 31, 2020
The assignment of this course though had some typos/fixes, but was enthralling to solve those ourselves.
Reviewed on Jun 16, 2020
I have no words to say!! I learned a lot! After deep learning specialization, this course gave me an insight into medical data analysis!!
Reviewed on Sep 16, 2020
Wonderful course to learn the real application of AI in the medical field. Wonderfully explained every difficult concept with a simple explanation.
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