Mapping ICD code to corresponding text
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Description
@alistairewj
Below is an example:
**HADM_ID**: 100001
**SUBJECT_ID**: 58526
**ICD9_CODE**: ['25013', '3371', '5849', '5780', 'V5867', '25063', '5363', '4580', '25043', '40390', '5853', '25053', '36201', '25083', '7078', 'V1351']
**TEXT**: "
... <snip> ...
Discharge Condition:
Mental Status: Clear and coherent.
Level of Consciousness: Alert and interactive.
Activity Status: Ambulatory - Independent.
...
If I check on Discharge Diagnosis there are only 4 diagnosis:
Diabetic keotacidosis
Hematemesis (blood in your vomit)
Hypertension
Chronic renal insufficiency
Total ICD codes are 16. But the Discharge Diagnosis is 4
From where are the other 12 ICD codes drawn.
Exactly where are the sentences in discharge summary corresponding to the ICD code
Other than Discharge Diagnosis what are the other headings taken into account for ICD codes
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the example's ICD9_CODE list and TEXT field, then trace the MIMIC-III data definitions to determine where the additional codes originate. A complete answer should identify the source of the 12 extra codes, the corresponding discharge-summary text, and which headings besides Discharge Diagnosis are used; the issue names no files or tests.
Written by the indexing model from the issue text.
Assessment
- Domain
- data, databases
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100