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AI-Assisted Quality Control of CTD Data (view source)
Revision as of 11:07, 22 December 2022
, 11:07, 22 December 2022no edit summary
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* Machine Learning Task: Flag in advance the scans to be deleted during CTD quality control+* Business Value: Flagged scans allow the analyst to quickly focus attention on crucial areas, reducing the time and effort required to delete scans+* Measures of Success: + * Accuracy of model predictions+ * Client feedback on quality control speed-ups+
== Use Case Objectives ==
== Use Case Objectives ==
−+ Machine Learning Task: Flag in advance the scans to be deleted during CTD quality control
−+ Business Value: Flagged scans allow the analyst to quickly focus attention on crucial areas, reducing the time and effort required to delete scans
−+ Measures of Success:
− + Accuracy of model predictions
− + Client feedback on quality control speed-ups
* Aspirational Goals:
* Aspirational Goals:
* Mitigation of uncertainty in human decisions
* Mitigation of uncertainty in human decisions
