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Featured byCoursera - Deeplearning
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
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Visit official programme websiteProgramme Structure
Courses include:
- Treatment Effect Estimation
- Medical Question Answering
- ML Interpretation
Check out the full curriculum
Visit official programme websiteKey information
Duration
- Part-time
- 21 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
Disciplines
Human Medicine Artificial Intelligence Machine Learning View 75 other Short Courses in Artificial Intelligence in United StatesExplore more key information
Visit official programme websiteAcademic 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.
Make sure you meet all requirements
Visit official programme websiteTuition Fee
To always see correct tuition fees
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 21 days. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 21 days.
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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.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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