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Knowledge check

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Choose the best response for each question, then select Check your answers.

Check your knowledge

1.

Which type of machine learning is most suitable for a scenario where the data points do not have any attached labels or categories?

Supervised learning

Unsupervised learning

Reinforcement learning

2.

Evaluate the statement: 'Machine learning models in healthcare are static and do not change once they are trained.'

True, because machine learning models cannot be updated like other models.

False, because as hospitals accumulate data over time, the machine learning model continuously refines its ability to identify risk factors and recommend personalized interventions.

True, because machine learning models can only learn during the training phase.

3.

Judge the effectiveness of neural networks in handling unstructured and unlabeled data compared to other machine learning techniques.

More effective

Less effective

Equally effective

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