Guidelines For Imputation Of Clinical Variables
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mimic-iii
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Description
Prerequisites
- Put an X between the brackets on this line if you have done all of the following:
- Checked the online documentation: https://mimic.physionet.org/about/mimic/
- Checked that your issue isn't already addressed: https://github.com/MIT-LCP/mimic-code/issues?utf8=%E2%9C%93&q=
Description
Problem:
- Missing data is common in clinical variables in MIMIC-III.
- It can be very time consuming for data scientists to consult clinicians about imputation strategies for individual variables.
Solution:
- We have prepared a spreadsheet containing common variable and general guidelines for imputation for both static measurements and time series measurements based on our clinical opinion.
- Suggestions for Clinical Variables.xlsx
Feedback Wanted:
- Feel free to comment and add additional variables which you feel might be useful for everyone else here
Wesley, Louis and Leo
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 by reviewing the attached Suggestions for Clinical Variables.xlsx spreadsheet and the issue description. A contribution would need a clearly agreed scope, such as specific variables or guidelines to add, followed by updating the spreadsheet and confirming the requested clinical-imputation guidance is complete.
Written by the indexing model from the issue text.
Assessment
- Domain
- content, documentation
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100