Question 1

The process of knowledge discovery and data mining is best characterized as:

Accepted Answer

A)   machine learning, use of statistical methods, and large amounts of data.
B)   a process wherein patients are selected for clinical trials.
C)   "fishing" for information in data.
D)   cleaning data for further analysis using other methods. A

Question 2

Which measure is most important for evaluating the performance of classifiers, models that predict class membership?

Accepted Answer

A)   Root mean squared error (RMS
E)  
B)   Area under the receiver operating characteristic (RO
C)   curve
C)   Percentage of correctly classified cases
D)   Hosmer-Lemeshow statistic

Question 3

In a set of consistently coded clinical data, the data should be analyzed using descriptive statistics and visualization with respect to the following: (Select all that apply.)

Accepted Answer

A)   Distribution
B)   Arcing
C)   Sparsity
D)   Identifiers
E)   Outliers A, C, D, E

Question 4

As organizations mature over time in their use of data science, they progress from what to what?

Accepted Answer

A)   Retrospective analysis; exploratory data analyses
B)   Real-time analytics; retrospective analytics
C)   Exploratory data analyses; prescriptive analytics
D)   Data mining; knowledge discovery C

Question 5

Which specialized method is used in knowledge discovery and data mining?

Accepted Answer

A)   Stratified sampling
B)   Conceptual analytic methods
C)   Selection of the optimal subset of variables/features for use in modeling
D)   Machine learning

Question 6

A health analytics professional must be skilled in all of the following except:

Accepted Answer

A)   computer hacking.
B)   healthcare operations.
C)   management and economics.
D)   statistical understanding.

Question 7

Which of the following are examples of analytics tools? (Select all that apply.)

Accepted Answer

A)   Graphics programs like Photoshop and 3DS Max
B)   Spreadsheets like MS Excel
C)   Database management systems like SQL Server
D)   Statistical analysis programs like Rapidminer
E)   Programming languages like R or Python

Question 8

Which methods are examples of data mining? (Select all that apply.)

Accepted Answer

A)   Decision trees
B)   Stratified random sampling
C)   Bayesian networks
D)   Artificial neural networks
E)   Factor analysis

Question 9

Assigning individual records or rows in a dataset for specific purposes (eg, model development, model validation)  is a process known as:

Accepted Answer

A)   partitioning.
B)   sampling.
C)   data mining.
D)   Bayesian networking.

Question 10

Which of the following data characteristics are important in understanding big data in healthcare? (Select all that apply.)

Accepted Answer

A)   Variety
B)   Vagrancy
C)   Venality
D)   Velocity
E)   Volume

Exam 23: Data Science and Analytics in Healthcare

The process of knowledge discovery and data mining is best characterized as:

Correct Answer
verified
A

Which measure is most important for evaluating the performance of classifiers, models that predict class membership?

Correct Answer
verified

In a set of consistently coded clinical data, the data should be analyzed using descriptive statistics and visualization with respect to the following: (Select all that apply.)

Correct Answer
verified
A, C, D, E

As organizations mature over time in their use of data science, they progress from what to what?

Correct Answer
verified
C

Which specialized method is used in knowledge discovery and data mining?

Correct Answer
verified

A health analytics professional must be skilled in all of the following except:

Correct Answer
verified

Which of the following are examples of analytics tools? (Select all that apply.)

Correct Answer
verified

Which methods are examples of data mining? (Select all that apply.)

Correct Answer
verified

Assigning individual records or rows in a dataset for specific purposes (eg, model development, model validation) is a process known as:

Correct Answer
verified

Which of the following data characteristics are important in understanding big data in healthcare? (Select all that apply.)

Correct Answer
verified

Exam 23: Data Science and Analytics in Healthcare

The process of knowledge discovery and data mining is best characterized as:

Correct AnswerverifiedA

Which measure is most important for evaluating the performance of classifiers, models that predict class membership?

Correct AnswerverifiedShow Answer

In a set of consistently coded clinical data, the data should be analyzed using descriptive statistics and visualization with respect to the following: (Select all that apply.)

Correct AnswerverifiedA, C, D, E

As organizations mature over time in their use of data science, they progress from what to what?

Correct AnswerverifiedC

Which specialized method is used in knowledge discovery and data mining?

Correct AnswerverifiedShow Answer

A health analytics professional must be skilled in all of the following except:

Correct AnswerverifiedShow Answer

Which of the following are examples of analytics tools? (Select all that apply.)

Correct AnswerverifiedShow Answer

Which methods are examples of data mining? (Select all that apply.)

Correct AnswerverifiedShow Answer

Assigning individual records or rows in a dataset for specific purposes (eg, model development, model validation) is a process known as:

Correct AnswerverifiedShow Answer

Which of the following data characteristics are important in understanding big data in healthcare? (Select all that apply.)

Correct AnswerverifiedShow Answer

Correct Answer
verified
A

Correct Answer
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Correct Answer
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A, C, D, E

Correct Answer
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C

Correct Answer
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Correct Answer
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Correct Answer
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Correct Answer
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Correct Answer
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Correct Answer
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