08 Apr DQ1Use examples to compare and contrast unstructur
DQ1Use examples to compare and contrast unstructured andstructured data. Which type is more prevalent in a typical businessenvironment? Why?DQ2Describe the basic features of the relational data model anddiscuss their importance to the end user.Week 2 discussionDQ1Is data more protected in a cloud-based database managementsystem (DBMS) or stored locally? Why?DQ2List the common sources of database failures and discuss howthe risk of database failure can be mitigated for one of the sources.Week 3 discussionDQ1What are decision support systems, and what role do theyplay in the business environment? Give an example of decision support systemsused in health care.DQ2Discuss how one of the two listed data analytics tools inthe readings (explanatory and predictive) can be applied in health care. Give aspecific use example.Week 4 discussionDQ1Discuss a health care data security breach that occurredwithin the last five years. Discuss the causes, what measures could have beenin place to prevent it, and the implications of the data security breach.DQ2Discuss the differences between cloud-based storage andlocal server storage. Which offers the best solution? Why?Week 5 discussionDQ1Discuss the challenges associated with free-text clinicalinformation (e.g., Nursing Progress Notes).DQ2Compare and contrast supervised and unsupervised learning asdiscussed in your readings. Give specific examples to explain both.Week 6 discussionDQ1Describe social media analytics and give one example of itsapplication in health care.DQ2Examine one major challenge faced by researchers andpractitioners with temporal healthcare data mining and propose a futureresearch direction.Week 7 discussionDQ1Discuss how clinical decision support systems (CDSS) can beused to improve patient outcomes in health care. Provide a specific example.DQ2Discuss how clinical decision support systems (CDSS) can beused to improve patient outcomes in health care. Provide a specific example.Week 8 discussionDQ1Discuss one future trend of data analytics and itsimplication in health care. Provide specific examples.DQ2How can data visualization evolve to better facilitatedecision-making in health care?
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