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AI-Assisted Quality Control of CTD Data (view source)

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== 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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+ 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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+ 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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+ Measures of Success:

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* Accuracy of model predictions

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+ Accuracy of model predictions

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* Client feedback on quality control speed-ups

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+ Client feedback on quality control speed-ups

* Aspirational Goals:

* Mitigation of uncertainty in human decisions

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