To Prepare
- Review the Learning Resources for this week related to the topics: Big Data, Data Science, Data Mining, Data Analytics, and Machine Learning.
- Consider the process and application of each topic.
- Reflect on how each topic relates to nursing practice.
By Day 3 of Week 5
Post a summary on how predictive analytics might be used to support healthcare. Note: These topics may overlap as you will find in the readings (e.g., some processes require both Data Mining and Analytics).
In your post include the following:
- Describe a practical application for predictive analytics in your nursing practice. What challenges and opportunities do you envision for the future of predictive analytics in healthcare?
By Day 6 of Week 5
Read a selection of your classmates’ responses and respond to at least two of your classmates on two different days. Expand upon your classmate’s posting or offer an alternative perspective.
Note: Your responses to classmates should be substantial (250 words minimum), supported with scholarly evidence from your research and/or the Learning Resources, and properly cited using APA Style. Personal anecdotes are acceptable as part of a meaningful response, but cannot stand alone as a response. Your responses should enrich the initial post by supporting and/or offering a fresh viewpoint, and be constructive, thereby enhancing the learning experience for all students.
* Additionally, you must respond to your professor if they ask a question or comment on your post.
The initial DQ is 2 pages, 4 articles & Book
Responses 2- Each should be 1 page and 3 articles.
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