| name | mimic |
| description | MIMIC (Medical Information Mart for Intensive Care) database toolkit. Curated ICU data: vitals, labs, medications, notes, diagnoses. Tools for querying MIMIC-III/IV, building ML features, and reproducing benchmarks. |
| tags | ["mimic","icu","ehr","clinical-database","research","healthcare","zorai"] |
Overview
MIMIC (Medical Information Mart for Intensive Care) provides ICU data: vitals, labs, medications, notes, diagnoses. Tools for querying MIMIC-III/IV, building ML features, and reproducing clinical benchmarks.
Access
Apply for access at https://physionet.org/content/mimiciv/ -- requires CITI data use training.
Installation
uv pip install psycopg2 pandas
Python Analysis
import pandas as pd
from sqlalchemy import create_engine
engine = create_engine("postgresql://user:pass@localhost:5432/mimiciv")
query = """
SELECT subject_id, charttime, valuenum
FROM mimiciv_icu.chartevents
WHERE itemid = 220045
AND valuenum IS NOT NULL
LIMIT 100
"""
hr = pd.read_sql(query, engine)
Workflow
- Apply for MIMIC access (physionet.org)
- Load MIMIC-IV into PostgreSQL
- Query ICU stays, diagnoses, labs, medications, notes
- Extract features (vitals over time, labs at admission, comorbidity scores)
- Build ML benchmarks (in-hospital mortality, LOS prediction, sepsis detection)