-
Notifications
You must be signed in to change notification settings - Fork 6
Bio age calculation: find similar top-100 athletes by biomarkers #508
Copy link
Copy link
Open
Labels
area: core-productLeaderboard, ranking, biological age, Bortz/PhenoAge, and league mechanicsLeaderboard, ranking, biological age, Bortz/PhenoAge, and league mechanicstype: featureNew feature or product capabilityNew feature or product capabilityworkflow: ai-deferredLikely much easier to resolve later with stronger AI tools or modelsLikely much easier to resolve later with stronger AI tools or modelsworkflow: non-trivialNeeds product judgment, research, or shaping before implementationNeeds product judgment, research, or shaping before implementation
Description
Metadata
Metadata
Assignees
Labels
area: core-productLeaderboard, ranking, biological age, Bortz/PhenoAge, and league mechanicsLeaderboard, ranking, biological age, Bortz/PhenoAge, and league mechanicstype: featureNew feature or product capabilityNew feature or product capabilityworkflow: ai-deferredLikely much easier to resolve later with stronger AI tools or modelsLikely much easier to resolve later with stronger AI tools or modelsworkflow: non-trivialNeeds product judgment, research, or shaping before implementationNeeds product judgment, research, or shaping before implementation
Split from #359. Identify athletes in the top 100 with the most similar biomarker profile to the user.