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NURS655 Week 6 Assignment: 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.
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).
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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.