MIT-LCP / MIT-LCP/mimic-code

Urine data MIMIC IV

Open
#1,371 0 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Jupyter Notebook
Stars
3.4k
Forks
1.7k
PR merge metrics
No merged PRs in 30d

Description

Prerequisites

Hello,

I'm processing urine data of MIMIC IV version 2. I extracted the data from OUTPUTEVENTS.
I have a question about urine load issue.
I extracted urine patient who have urine larger than 0.5mL/kg/hr between ADMISSION ADMITTIME and after 6 hours.
But, I think there are many missing because there are not enough data.
Is there another way to extract urine data from any table? for example note?

We use the following code:

226566 | Urine and GU Irrigant Out | Urine and GU Irrigant Out | outputevents | Output | mL | Numeric
226627 | OR Urine | OR Urine | outputevents | Output | mL | Numeric
226631 | PACU Urine | PACU Urine | outputevents | Output | mL | Numeric
227489 | GU Irrigant/Urine Volume Out | GU Irrigant/Urine Volume Out | outputevents | Output | mL | Numeric

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reviewing the MIMIC-IV OUTPUTEVENTS records for item IDs 226566, 226627, 226631, and 227489, including the admission-to-six-hour window described in the issue. Check the repository's MIMIC-IV extraction guidance for other urine-related sources, including notes, and document whether the observed gaps reflect the selected tables or missing measurements.

Written by the indexing model from the issue text.

Assessment

Domain
data, databases
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.