NURS655 Full Course latest 2018 may

Week 1 discussion

DQ1

Use examples to compare and contrast unstructured and
structured data. Which type is more prevalent in a typical business
environment? Why?

DQ2

Describe the basic features of the relational data model and
discuss their importance to the end user.

Week 2 discussion

DQ1

Is data more protected in a cloud-based database management
system (DBMS) or stored locally? Why?

DQ2

List the common sources of database failures and discuss how
the risk of database failure can be mitigated for one of the sources.

Week 3 discussion

DQ1

What are decision support systems, and what role do they
play in the business environment? Give an example of decision support systems
used in health care.

DQ2

Discuss how one of the two listed data analytics tools in
the readings (explanatory and predictive) can be applied in health care. Give a
specific use example.

Week 4 discussion

DQ1

Discuss a health care data security breach that occurred
within the last five years. Discuss the causes, what measures could have been
in place to prevent it, and the implications of the data security breach.

DQ2

Discuss the differences between cloud-based storage and
local server storage. Which offers the best solution? Why?

Week 5 discussion

DQ1

Discuss the challenges associated with “free-text” clinical
information (e.g., Nursing Progress Notes).

DQ2

Compare and contrast supervised and unsupervised learning as
discussed in your readings. Give specific examples to explain both.

Week 6 discussion

DQ1

Describe social media analytics and give one example of its
application in health care.

DQ2

Examine one major challenge faced by researchers and
practitioners with temporal healthcare data mining and propose a future
research direction.

Week 7 discussion

DQ1

Discuss how clinical decision support systems (CDSS) can be
used to improve patient outcomes in health care. Provide a specific example.

DQ2

Discuss how clinical decision support systems (CDSS) can be
used to improve patient outcomes in health care. Provide a specific example.

Week 8 discussion

DQ1

Discuss one future trend of data analytics and its
implication in health care. Provide specific examples.

DQ2

How can data visualization evolve to better facilitate
decision-making in health care?

Week 1 MS
Access (or OpenOffice Base for MAC users): Relational Database

PC Users:

Install Microsoft Access if you don’t already have it
(available through your student Microsoft 365 account).

Complete the related MS Access training tutorials located in
the Assignment Resources below.

Create a simple relational database using information
provided in a data set.

You may use one of the student files for chapter 3 provided
in the Doc Sharing blog (Access files end in .mdb), a data set from
https://www.data.gov/ or a data set you already have of your own.

Submit a screenshot of your completed database along with
your relational database file for grading.

Mac Users:

Download and install OpenOffice Base from the following
link: http://www.openoffice.org/product/base.html

View the OpenOffice Base videos located in the Assignment
Resources below.

Create a simple relational database using information
provided in a data set.

You can find a data set from https://www.data.gov/ or use a
data set you already have of your own.

Submit a screenshot of your completed database along with
your relational database file for grading.

Week 2 MS
Access (or OpenOffice Base for MAC Users): Relational Database Query

PC Users:

Complete the related MS Access query training tutorials
located in the Assignment Resources below.

Using the relational database created during the first week,
run a query to receive meaningful data output (e.g., running a query to filter
patients with a specific diagnosis).

Submit a screenshot and your query results for grading.

Mac Users:

Watch the OpenOffice Base Creating Queries video located in
the Assignment Resources below.

Using the relational database created during the first week,
run a query to receive meaningful data output (e.g., running a query to filter
patients with a specific diagnosis).

Submit a screenshot and your query results for grading.

Week 3 Big
Data Use Paper

Research a
health-related business that collects big data and explain the following in a
two-page paper in APA format:

Give a brief overview of big data.

How do the topics learned in this class relate to big data
in health care?

In the use case of the business you researched, what kind of
data is collected and what are the advantages of collecting this type of data?

Include 2–3 scholarly resources in APA format. Examples of
scholarly sources include professional journal articles and books obtained from
library databases, national guidelines, and informatics organizations,
published within the last five years.

Week 4 XML
Overview Paper and Sample XML Document

Discuss the following in a two-page paper in APA format:

What is XML?

Why use XML?

Create a simple XML document for one of the following:

Patient demographics

Patient allergies

Patient vital signs

Patient serum hemoglobin result

Include 2–3 scholarly resources in APA format. Examples of
scholarly sources include professional journal articles and books obtained from
library databases, national guidelines, and informatics organizations,
published within the last five years.

Week 5 Data
Mining Software Exercise

This assignment gives
you the opportunity to demonstrate your ability to use data mining software.

Download the program RapidMiner (available for Windows or
MAC IOS 10.8+) from: https://rapidminer.com/ and register using your WCU
student email. (After the 15-day free trial, you can register for a free
education license if you’d like. You’ll receive an email from RapidMiner with
instructions.)

When you open the program for the first time, tutorials will
automatically come up on the left side of the platform’s screen. If you lose
this window, click on the file folder icon a the top and choose the Learn
option to get it back.

Complete each tutorial within the program and take a
screenshot of the results as you finish each one. (list of tutorials provided
below)

After you finish the tutorials, submit your screenshots for
grading.

Basics

Operators and Processes

Modeling

Accessing Data

Filtering and Sorting

Merging and Grouping

Creating and Removing Columns

Changing Types and Roles

More Modeling

Data Handling

Handle Missing Values

Normalization and Outlier Detection

Pivoting and Renaming

Macros and Sampling

Looping, Branching, and Appending

Writing Data

Modeling, Scoring and Validation

Modeling

Scoring

Test Splits and Validation

Cross Validation

Visual Model Comparison

RapidMiner Server

RapidMiner Radoop

See Assignment Resources below for further RapidMiner
support videos.

Week 6 EHR Data
Mining Challenges Paper

Discuss the
challenges faced by EHR data mining in a two-page paper in APA format. Make sure
to include the following:

What is the potential of healthcare data mining?

How can it benefit or improve patient outcomes?

Include 2–3 scholarly resources in APA format. Examples of
scholarly sources include professional journal articles and books obtained from
library databases, national guidelines, and informatics organizations,
published within the last five years.

Week 7 Demonstration
of Use of Data Visualization Software

Download a free version of Tableau Desktop for Students
(available for Windows PC and MAC OS) at:

https://www.tableau.com/academic/students#product-video Click for more options

View the links listed in the Assignment Resources listed
below to learn about Tableau.

Choose a health-related data set from one of the links in
the Assignment Resources below.

Follow all eight of the Tableau tutorial steps at the
following link to create a meaningful data story from your inputted data set.

http://onlinehelp.tableau.com/current/guides/get-started-tutorial/en-us/get-started-tutorial-home.html

Share your final work in Tableau Public and submit the link
along with the link to the data set you used (upload both with the file to
Blackboard).

Week 8 Final Data
Project

Write a four- to
five-page paper that demonstrates comprehension of data mining and data
visualization.

Complete the
following using a data set from https://www.healthdata.gov/ Click for more options

Clean and prepare the data.

Use any data mining model to extract meaningful data.

Create two data visualizations in Tableau that show data in
a meaningful way without information overload.

Explain your data set and describe your data mining model
and data visualization technique (two-page maximum).

Submit your data files, links to your visualizations, and
your written assignment.

Include the URL of the data set that you downloaded.

Examples of scholarly sources include professional journal
articles and books obtained from library databases, national guidelines, and
informatics organizations, published within the last five years.

Explanation & Answer

Our website has a team of professional writers who can help you write any of your homework. They will write your papers from scratch. We also have a team of editors just to make sure all papers are of HIGH QUALITY & PLAGIARISM FREE. To make an Order you only need to click Order Now and we will direct you to our Order Page at Litessays. Then fill Our Order Form with all your assignment instructions. Select your deadline and pay for your paper. You will get it few hours before your set deadline.