Question: In what ways a data warehouse is different from an operational database? Are there any similarities? Why analyzing outliers is particularly important in healthcare applications?

  1. In what ways a data warehouse is different from an operational database? Are there any similarities?
  2. Why analyzing outliers is particularly important in healthcare applications? Explain and give examples.
  3. How data mining process of very large data differs from very small data? Describe challenges related to both types of data.
  4. You are a consultant hired by a hospital. The hospital is engaged in a quality improvement process to reduce medical errors. You are asked to analyze data to learn why some reported incidents result in lawsuits or claims, while others don t. Describe how you would approach this problem. What type of data mining is involved? What do you need in data in order to perform this task?

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