Chp 13

Question 1

What is a clinical prediction model? Select all that apply.

Answer 1

• A tool to predict patient health outcomes
• A structured algorithm that uses patient information to estimate the probability of a particular clinical outcome.

Question 2

Which method is commonly used to derive disease subtyping from clinical data?

Answer 2

Clustering

Question 3

Which of the followings are NOT a common data source for clinical text mining?

Answer 3

Chest X-ray
Physiological signals

Question 4

What are the common application of anomaly detection?

Answer 4

• Network security
• Fraud detection

Question 5

Which of the following is a type of supervised machine learning where the goal is to predict a continuous output variable?

Answer 5

Regression

Question 6

In a binary classification problem, how many possible output classes are there?

Answer 6

Two

Question 7

Which of the following is a common application of regression?

Answer 7

Stock price forecasting

Question 8

Select the most suitable machine learning tasks for each of following scenarios.

Answer 8

a) Predicting the price of a house based on its size and location.
Regression

b) Grouping customers into different segments based on their purchasing behavior.
Clustering

c) Identifying unauthorized access in a computer network.
Anomaly detection

d) Categorizing emails as “Spam” or “Not Spam”.
Classification

Question 9

In which application would you most likely use classification?

Answer 9

Diagnosing a disease as “Positive” or “Negative”

Question 10

Which of the following best describes the nature of clustering in terms of learning?

Answer 10

Self-supervised learning from raw data.