World Stroke Organization Big Data and Stroke
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Quiz – Module 2
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Question 1 of 14
1. Question
Why do you undertake propensity score matching for stroke research?
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Question 2 of 14
2. Question
What patient outcomes can be measured using big data?
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Question 3 of 14
3. Question
Which datasets can be linked for stroke research?
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Question 4 of 14
4. Question
What is the primary goal of tensor factorization in healthcare applications?
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Question 5 of 14
5. Question
Which of the following is a common source of bias in AI systems used in healthcare?
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Question 6 of 14
6. Question
Which deep learning technique is best suited for modeling sequential patient data in healthcare?
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Question 7 of 14
7. Question
What is the primary function of a Graph Convolutional Network (GCN) in healthcare applications?
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Question 8 of 14
8. Question
Using big data will make your study results more accurate.
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Question 9 of 14
9. Question
In the context of healthcare, how can tensor factorization be used to enhance patient care?
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Question 10 of 14
10. Question
What is a key concern in AI fairness within healthcare?
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Question 11 of 14
11. Question
Which of the following is an advantage of using Recurrent Neural Networks (RNNs) in healthcare?
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Question 12 of 14
12. Question
Which of the following is an example of an application in healthcare that can raise privacy concerns?
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Question 13 of 14
13. Question
What is the primary goal of maintaining privacy in healthcare AI systems?
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Question 14 of 14
14. Question
Why is it important to ensure AI fairness in healthcare?
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