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The problem with a lot of medical labeling is the labels are not very consistent/accurate to begin with. Just go to three doctors with the same symptoms and see

• unityByFreedom 9y ago
  That is surmountable. You can use annotator agreement, and, algorithms don't need perfectly labeled data in order to improve. Any effort to create additional medical datasets would probably help enhance machine learning diagnostics. The data that you want to be perfect is the test set, which is smaller than training sets.