This repository demonstrates figures created by data stored in CogStackDashboards.
This repo is intended to be a guide on how to access the dashboards and includes example scripts that can be used to gain clinical insights from the MIMIC-IV dataset. Along with additional capacity for querying annotations via discharge_annotations and radiology_annotations.
├── data/
│ ├── co_occurrences/ - Co-occurrence information for SNOMED CT concepts
│ └── SNOMED/ - Required SNOMED CT Files, See below
├── figures/ - Images used in the paper and generated from scripts
├── sample_access_scripts/ - Simple demo scripts showing how to request data via curl or Python
├── staging_scripts/ - Staging scripts to save data from CogstackDashboards in local files
├── visualisation_scripts/ - Scripts used to generate images used in the paper
└── README.md
- Sign up for a PhysioNet account
- Complete training and obtain credentialed status
- Log into CogStackDashboards with your PhysioNet account
- For API access, see sample_access_scripts for examples of how to create appropriate queries
SNOMED CT is required for resolving higher-level ancestors of top-level nodes and translating SNOMED codes into human-readable names.
https://www.nlm.nih.gov/healthit/snomedct/international.html
https://isd.digital.nhs.uk/trud/users/guest/filters/0/home
After downloading, extract the following two files from the ontology package. They follow this naming convention:
sct2_Description_Full-en_INT_YYYYMMDD.txtsct2_Relationship_Full_INT_YYYYMMDD.txt
Save them in data/SNOMED/ as:
sct2_description.txtsct2_relationship.txt