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Saving lives with data by providing regulatory-grade safety and effectiveness data.

Freely available medical data for research.

MIMIC (Medical Information Mart for Intensive Care) is a freely available medical database designed to support research. It provides de-identified data from intensive care units and emergency departments, including patient demographics, vital signs, laboratory results, medications, and clinical notes. MIMIC-IV is organized into modules like Core, Hosp, ICU, ED, CXR, and Note, each representing different data sources within the hospital system. The database architecture facilitates granular analysis of patient stays, allowing researchers to study various aspects of critical care, such as treatment effectiveness, disease progression, and resource utilization. Use cases range from developing predictive models to evaluating clinical workflows.
MIMIC (Medical Information Mart for Intensive Care) is a freely available medical database designed to support research.
Explore all tools that specialize in perform data analysis. This domain focus ensures MIMIC delivers optimized results for this specific requirement.
Explore all tools that specialize in develop machine learning models. This domain focus ensures MIMIC delivers optimized results for this specific requirement.
Explore all tools that specialize in machine learning. This domain focus ensures MIMIC delivers optimized results for this specific requirement.
MIMIC-IV provides a wide range of clinical data including demographics, vital signs, lab results, medications, and notes.
Data is separated into modules (Core, Hosp, ICU, etc.) based on source and type.
All patient data is de-identified to protect patient privacy.
Includes both structured data (e.g., lab results) and unstructured data (e.g., clinical notes).
Provides access to multiple versions of the MIMIC database (II, III, IV).
Request access to the MIMIC database via PhysioNet.
Complete required data use agreement training.
Download the MIMIC database files.
Set up a local database environment (e.g., PostgreSQL).
Import the MIMIC data into your database.
Explore the database schema and available tables.
Write SQL queries to extract relevant data for your research.
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Verified feedback from other users.
"MIMIC is highly regarded for its comprehensive medical data and ease of access for research purposes."
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