Data Mining in Health Care
data warehousing is a method of data storage that allows for streamlined datamanagement and retrieval. Data mining software aids in clarifying the relationships between stored data and assists in retrieving specific information as needed. In health care organizations, the information this process yields can be used to cut costs and improve patient care.
explore the concept of data mining from a health care perspective.
To prepare:
What are the potential benefits of using data mining in health care?
Review the information in the Learning Resources on the different types of datawarehousing and how the one selected impacts data mining.
Review the Hey article, ?The Next Scientific Revolution.? Consider how data miningthrough machine learning can be applied to health care.
Reflect on your initial impressions of automated data mining in health care. What are your thoughts on applying this type of data mining to patient care? Consider possible drawbacks of both guided and automated data mining. What approaches and strategies could be used to address those concerns?
Consider any ethical ramifications of using data mining or machine learning as a tool for prognosis.
analysis of how data mining can be beneficial to a health care system. Assess how the type of data warehousing used can impact the ability to mine data. Describe examples of the successful use of guided data mining and automated data mining within health care and cite your source. Describe any reservations you have or ethical issues you foresee in using data mining to provide health care information. What approaches and strategies could be used to address those concerns? Justify your responses.
I have a file. Hey file which I will be sending later. today.