NURS655 Week 4 Discussion 1 & 2 Latest

NURS655 Week 4 Discussion 1 & 2 Latest

NURS655 Week 4 Discussion 1 & 2 Latest

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 4 Assignment: 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 Assignment: 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.