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AI-Assisted Quality Control of CTD Data (view source)
Revision as of 10:09, 22 December 2022
, 10:09, 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
* '''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
* '''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:
* '''Measures of Success''':
** Accuracy of model predictions
** Accuracy of model predictions
**Client feedback on quality control speed-ups
**Client feedback on quality control speed-ups
*Aspirational Goals:
*'''Aspirational Goals''':
** Mitigation of uncertainty in human decisions
** Mitigation of uncertainty in human decisions
** Semi or full automation of scan deletions
** Semi or full automation of scan deletions
