Overview
Medical treatment may impact patients differently based on their existing health conditions. In this third AI for Medical Treatment course offered by Coursera in partnership with Deeplearning, you’ll recommend treatments more suited to individual patients using data from randomized control trials. In the second week, you’ll apply machine learning interpretation methods to explain the decision-making of complex machine learning models. Finally, you’ll use natural language entity extraction and question-answering methods to automate the task of labeling medical datasets.
These courses go beyond the foundations of deep learning to teach you the nuances in applying AI to medical use cases. If you are new to deep learning or want to get a deeper foundation of how neural networks work, we recommend that you take the Deep Learning Specialization.
What you will 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
Programme Structure
Courses include:
- Treatment Effect Estimation
- Medical Question Answering
- ML Interpretation
Key information
Duration
- Part-time
- 14 days
- 10 hrs/week
Start dates & application deadlines
Language
Delivered
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Health Sciences Artificial Intelligence Machine Learning View 100 other Short Courses in Health Sciences in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Intermediate Level
- We recommend first completing Course 1 and 2 of the AI For Medicine Specialization.
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
Additional Details
Audit: free access to course materials except graded items|Certificate: a trusted way to showcase your skills|A year of unlimited access with Coursera Plus $199
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.