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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- Treatment Effect Estimation
- Medical Question Answering
- ML Interpretation
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- 21 days
Start dates & application deadlines
DisciplinesHuman Medicine Artificial Intelligence Machine Learning View 77 other Short Courses in Artificial Intelligence in United States
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We are not aware of any academic requirements for this programme.
We are not aware of any English requirements for this programme.
- We recommend first completing Course 1 and 2 of the AI For Medicine Specialization.
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InternationalFreeTuition FeeBased on the tuition of 0 USD for the full programme during 21 days.
NationalFreeTuition FeeBased on the tuition of 0 USD for the full programme during 21 days.
You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.
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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Apply and win up to €10000 to cover your tuition fees.