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AI-Assisted Quality Control of CTD Data
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Revision as of 11:01, 22 December 2022
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11:01, 22 December 2022
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== Use Case Objectives ==
== Use Case Objectives ==
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* Machine Learning Task: Flag in advance the scans to be deleted during CTD quality control
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* Business Value: Flagged scans allow the analyst to quickly focus attention on crucial areas, reducing the time and effort required to delete scans
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* Measures of Success:
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* Accuracy of model predictions
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* Client feedback on quality control speed-ups
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* Aspirational Goals:
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* Mitigation of uncertainty in human decisions
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* Semi or full automation of scan deletions
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[[File:Business process.png|Flow diagram for the model integration into the business process.]]
[[File:Business process.png|Flow diagram for the model integration into the business process.]]
Lee.croft
121
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