nurs655 all week assignments latest 2018 may

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.

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