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Increase alignment of i2b2, MCW and Mayo PHI datasets #19

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tschaffter opened this issue Oct 27, 2021 · 0 comments
Open
4 tasks

Increase alignment of i2b2, MCW and Mayo PHI datasets #19

tschaffter opened this issue Oct 27, 2021 · 0 comments
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Priority: Medium This issue should be addressed in 1-3 weeks

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@tschaffter
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tschaffter commented Oct 27, 2021

We now have the Mayo Clinic dataset mapped to the NLP Sandbox schemas. We are currently working on connecting this dataset to the benchmarking infra of NLPSandbox.io.

Example of information to compare:

  • Number of patients in the dataset
  • Number of clinical notes
  • Distribution of notes per patients
  • Number of annotations
    • Number of annotations grouped by annotation type (date, person name, etc.)
  • etc.

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@tschaffter tschaffter added the Priority: Medium This issue should be addressed in 1-3 weeks label Oct 27, 2021
@tschaffter tschaffter changed the title Explore the features of one or more PHI annotation datasets Compare the content of the i2b2, MCW and Mayo dataset Nov 1, 2021
@tschaffter tschaffter changed the title Compare the content of the i2b2, MCW and Mayo dataset Compare the content of the i2b2, MCW and Mayo PHI datasets Nov 1, 2021
@tschaffter tschaffter changed the title Compare the content of the i2b2, MCW and Mayo PHI datasets Increase alignment of i2b2, MCW and Mayo PHI datasets Nov 1, 2021
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Priority: Medium This issue should be addressed in 1-3 weeks
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