Question 1

Data mining looks at data from different perspectives and brings new insights to the dataset.

Accepted Answer

A) True 
 B)False  True

Question 2

Synthesizing predicted classifications to generate a final best predicted classification is a process referred to as stacking.

Accepted Answer

A) True 
 B)False  True

Question 3

A nurse practitioner is using a registry in the electronic health record to identify patients at risk for diabetes. Which data can the registry identify to assist with this data mining for diabetes?

Accepted Answer

A)  Patient glucose laboratory results 
B)  Patient contact logs 
C)  Patient medical histories 
D)  Patient vital signs 
A)  Patient glucose laboratory results 
B)  Patient contact logs 
C)  Patient medical histories 
D)  Patient vital signs A

Question 4

The term boosting refers to increasing the power of the models generated by weighting the combinations of predictions from those models into a predicted classification.

Accepted Answer

A) True 
 B)False

Question 5

A nurse researcher is teaching a nursing student about data mining and nursing research. Which statement by the nurse researcher is correct?

Accepted Answer

A)  "Nursing research will help transform big data into comprehensible knowledge." 
B)  "Nursing research will help analyze the outcomes prior to data collection." 
C)  "Nursing research will identify qualitative relationships for quantitative data." 
D)  "Nursing research will take nursing knowledge and transform it into big data." 
A)  "Nursing research will help transform big data into comprehensible knowledge." 
B)  "Nursing research will help analyze the outcomes prior to data collection." 
C)  "Nursing research will identify qualitative relationships for quantitative data." 
D)  "Nursing research will take nursing knowledge and transform it into big data."

Question 6

A nurse researcher analyzes databases to determine patterns of disease. Discovery of this knowledge will assist with which of the following?

Accepted Answer

A)  Prevention of sequelae of the disease 
B)  Generation of new treatments 
C)  Standardization of nursing care plans 
D)  Prevention of disease 
A)  Prevention of sequelae of the disease 
B)  Generation of new treatments 
C)  Standardization of nursing care plans 
D)  Prevention of disease

Question 7

To develop a successful data mining process, organizations must first have the data needed to create meaningful information.

Accepted Answer

A) True 
 B)False

Question 8

The acronym SEMMA-sample, explore, modify, model, assess-refers to the core process of conducting data mining.

Accepted Answer

A) True 
 B)False

Question 9

A nurse researcher starts to assimilate data. Once the nurse starts to understand the data, which of the following occurs?

Accepted Answer

A)  Data quality issues are identified. 
B)  Data is processed into a model. 
C)  Study conclusions are made. 
D)  A new data mining project is started. 
A)  Data quality issues are identified. 
B)  Data is processed into a model. 
C)  Study conclusions are made. 
D)  A new data mining project is started.

Question 10

A nurse is preparing data for the data mining process and is identifying important variables. What phase of data mining is this?

Accepted Answer

A)  Exploration 
B)  Problem identification 
C)  Knowledge deployment 
D)  Pattern discovery 
A)  Exploration 
B)  Problem identification 
C)  Knowledge deployment 
D)  Pattern discovery

Question 11

Bagging is a term for the use of voting and averaging in predictive data mining to synthesize the predictions from many models or methods or the use of the same type of a model on different data.

Accepted Answer

A) True 
 B)False

Question 12

The term big data refers to the process of using software to sort through data to discover patterns and ascertain or establish relationships.

Accepted Answer

A) True 
 B)False

Question 13

Meta-learning is a subset of artificial intelligence that permits computers to learn either inductively or deductively. Inductive machine learning is the process of reasoning and making generalizations or extracting patterns and rules from huge datasets.

Accepted Answer

A) True 
 B)False

Question 14

Health care does not generate big data.

Accepted Answer

A) True 
 B)False

Question 15

A nurse researcher is using a complex model to mine a small dataset of information. This is known as which of the following?

Accepted Answer

A)  Bagging 
B)  Boosting 
C)  Exploratory data analysis 
D)  Data drill down 
A)  Bagging 
B)  Boosting 
C)  Exploratory data analysis 
D)  Data drill down

Question 16

A nurse researcher is using aggregate patient data for data mining. How is patient confidentiality maintained?

Accepted Answer

A)  By deidentifying patient data 
B)  By locking data in a secure location 
C)  By storing data in a data warehouse 
D)  By using electronic data collection only 
A)  By deidentifying patient data 
B)  By locking data in a secure location 
C)  By storing data in a data warehouse 
D)  By using electronic data collection only

Question 17

A nurse researcher clusters data so that the large datasets are broken up into more manageable, smaller datasets. What is this process known as?

Accepted Answer

A)  Data reduction 
B)  Drill down 
C)  Boosting 
D)  Bagging 
A)  Data reduction 
B)  Drill down 
C)  Boosting 
D)  Bagging

Question 18

The decision tree mining technique uses regression to predict the outcome of y.

Accepted Answer

A) True 
 B)False

Question 19

The term knowledge deployment refers to taking the pattern and model identified in the pattern discovery phase and applying them to new data to test whether they can achieve the desired outcome.

Accepted Answer

A) True 
 B)False

Question 20

A nurse is beginning the analytical and logical process to forecast a pattern from data that has been concealed. What is this process called?

Accepted Answer

A)  Data mining 
B)  Data retrieval 
C)  Data discovery 
D)  Data collection 
A)  Data mining 
B)  Data retrieval 
C)  Data discovery 
D)  Data collection

Exam 22: Data Mining As a Research Tool

Data mining looks at data from different perspectives and brings new insights to the dataset.

Synthesizing predicted classifications to generate a final best predicted classification is a process referred to as stacking.

A nurse practitioner is using a registry in the electronic health record to identify patients at risk for diabetes. Which data can the registry identify to assist with this data mining for diabetes?

The term boosting refers to increasing the power of the models generated by weighting the combinations of predictions from those models into a predicted classification.

A nurse researcher is teaching a nursing student about data mining and nursing research. Which statement by the nurse researcher is correct?

A nurse researcher analyzes databases to determine patterns of disease. Discovery of this knowledge will assist with which of the following?

To develop a successful data mining process, organizations must first have the data needed to create meaningful information.

The acronym SEMMA-sample, explore, modify, model, assess-refers to the core process of conducting data mining.

A nurse researcher starts to assimilate data. Once the nurse starts to understand the data, which of the following occurs?

A nurse is preparing data for the data mining process and is identifying important variables. What phase of data mining is this?

Bagging is a term for the use of voting and averaging in predictive data mining to synthesize the predictions from many models or methods or the use of the same type of a model on different data.

The term big data refers to the process of using software to sort through data to discover patterns and ascertain or establish relationships.

Meta-learning is a subset of artificial intelligence that permits computers to learn either inductively or deductively. Inductive machine learning is the process of reasoning and making generalizations or extracting patterns and rules from huge datasets.

Health care does not generate big data.

A nurse researcher is using a complex model to mine a small dataset of information. This is known as which of the following?

A nurse researcher is using aggregate patient data for data mining. How is patient confidentiality maintained?

A nurse researcher clusters data so that the large datasets are broken up into more manageable, smaller datasets. What is this process known as?

The decision tree mining technique uses regression to predict the outcome of y.

The term knowledge deployment refers to taking the pattern and model identified in the pattern discovery phase and applying them to new data to test whether they can achieve the desired outcome.

A nurse is beginning the analytical and logical process to forecast a pattern from data that has been concealed. What is this process called?

Nursing Science and the Foundation of Knowledge

Introduction to Information, Information Science, and Information Systems

Computer Science and the Foundation of Knowledge Model

Introduction to Cognitive Science and Cognitive Informatics

Ethical Applications of Informatics

History and Evolution of Nursing Informatics

Nursing Informatics As a Specialty

Legislative Aspects of Nursing Informatics: Hitech and Hipaa

Systems Development Life Cycle: Nursing Informatics and Organizational Decision Making

Administrative Information Systems

The Humantechnology Interface

Electronic Security

Workflow and Beyond Meaningful Use

The Electronic Health Record and Clinical Informatics

Informatics Tools to Promote Patient Safety and Quality Outcomes

Patient Engagement and Connected Health

Using Informatics to Promote Communitypopulation Health

Telenursing and Remote Access Telehealth

Nursing Informatics and Nursing Education

Simulation, Game Mechanics, and Virtual Worlds in Nursing Education

Nursing Research: Data Collection, Processing, and Analysis

Translational Research: Generating Evidence for Practice

Bioinformatics, Biomedical Informatics, and Computational Biology

The Art of Caring in Technology-Laden Environments

Nursing Informatics and the Foundation of Knowledge

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