121
edits
Important: The GCConnex decommission will not affect GCCollab or GCWiki. Thank you and happy collaborating!
Changes
Jump to navigation
Jump to search
AI-Assisted Quality Control of CTD Data (view source)
Revision as of 11:09, 22 December 2022
, 11:09, 22 December 2022no edit summary
Line 4:
Line 4:
== 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
