Digital Health Exploration Quiz

What is Digital Health?

• Use of digital technology to improve the delivery of healthcare services

• Use of traditional methods to deliver healthcare services

• Use of physical therapy to improve healthcare services

• Use of herbal remedies to improve healthcare services

What is the purpose of Artificial Intelligence in Healthcare?

• To limit the access to healthcare services

• To increase the cost of healthcare services

• To reduce the use of technology in healthcare services

• To improve the accuracy and efficiency of healthcare services

What is the hands-on activity in the workshop?

• Machine Learning – Image Recognition

• Cooking demonstration

• Gardening workshop

• Music performance

How can you let your computer learn better?

• By providing more diverse and accurate data for training

• By turning off the computer

• By using the computer less frequently

• By ignoring the training process

When is the intake for Bachelor in Digital Health (Hons)?

• April & June

• January & March

• July & September

• October & December

What is the purpose of the 'Set the Machine Learning block' step?

• To remove the machine learning component

• To integrate the machine learning model into the project

• To update the project template

• To restart the project from scratch

What should be done if the computer is not accurate in recognizing hand shapes?

• Provide more diverse and accurate data for training

• Use a different computer

• Restart the computer

• Ignore the issue

What is the role of Machine Learning in healthcare?

• To predict patient outcomes based on historical data

• To perform physical therapy on patients

• To prescribe herbal remedies to patients

• To limit the use of technology in healthcare

Asking the computer to tell between images of apples and cupcakes is a task called:

• object detection.

• image recognition.

• pattern matching.

• image classification.

Why is the machine training process in "Scissors Paper Stone" activity called supervised Learning?

• because it involves training a model on unlabeled data without correct answers (labels) provided.

• because it involves training a model without any data.

• because it involves training a model on random data with incorrect answers provided.

• because it involves training a model on labeled data with correct answers (labels) provided.