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
Heat up your career with 40% off top courses from Google, Adobe, and more. Save today.
AI For Medical Treatment
This course is part of AI for Medicine Specialization
Instructors: Pranav Rajpurkar
26,482 already enrolled
Gain insight into a topic and learn the fundamentals.
4.7
(524 reviews)
Intermediate level
Recommended experience
Flexible schedule
Approx. 22 hours
Learn at your own pace
96%
Most learners liked this course
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
- Applied Machine Learning
- AI Personalization
- Medical Science and Research
- Artificial Intelligence and Machine Learning (AI/ML)
- Machine Learning
- Predictive Modeling
- Machine Learning Methods
- Health Informatics
- Patient Treatment
- Feature Engineering
- Text Mining
- Precision Medicine
- Deep Learning
- Natural Language Processing
- Medical Terminology
- Clinical Trials
- Treatment Planning
- Large Language Modeling
- Data Analysis
- Statistical Analysis
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
3 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the AI for Medicine Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
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
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructors
Instructor ratings
4.7 (100 ratings)Offered by
Explore more from Machine Learning
Status: Free TrialDeepLearning.AI
Status: Free TrialDeepLearning.AI
Status: Free TrialDeepLearning.AI
Status: Free TrialStanford University
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
4.7
524 reviews
- 5 stars
78.05%
- 4 stars
15.45%
- 3 stars
4%
- 2 stars
1.33%
- 1 star
1.14%
Showing 3 of 524
KN
4
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
RB
5
Reviewed on Jun 12, 2020
A very nice course and specialization as well. Offers so much to learn even for those who are pure machine learners.Instructors were fantastic.Assignments were challenging but excellent.
RR
5
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.
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
More questions
Financial aid available,