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AI-Assisted Quality Control of CTD Data (view source)
Revision as of 10:01, 22 December 2022
, 10:01, 22 December 2022no edit summary
== 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:
* Mitigation of uncertainty in human decisions
* Semi or full automation of scan deletions
[[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.]]
