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A web-based data visualization tool for the MIMIC-II database.

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Summary
This summary is machine-generated.

A new web-based tool simplifies exploring the Medical Information Mart for Intensive Care II (MIMIC-II) database. This visualization tool allows researchers to easily investigate patient data without needing SQL expertise.

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Area of Science:

  • Medical Informatics
  • Data Visualization
  • Clinical Research

Background:

  • The Medical Information Mart for Intensive Care II (MIMIC-II) database is a valuable resource for researchers.
  • Proficiency in MIMIC-II requires SQL knowledge and schema understanding, posing challenges for clinicians and health researchers.
  • Limited computer proficiency among some users hinders access to MIMIC-II data.

Purpose of the Study:

  • To develop an interactive, web-based data visualization tool for MIMIC-II.
  • To enable first-time MIMIC-II users to easily explore the database.
  • To lower the barrier to entry for accessing and analyzing intensive care unit data.

Main Methods:

  • Developed an interactive, web-based visualization tool.
  • Implemented an 'Explore' feature for cohort analysis and variable distribution visualization.
  • Implemented a 'Compare' feature for side-by-side cohort analysis.

Main Results:

  • The tool provides 'Explore' and 'Compare' functionalities for MIMIC-II data.
  • Users can visualize distributions of administrative, demographic, and clinical variables within selected cohorts.
  • Experienced researchers can accelerate data exploration and reduce time spent on SQL queries.

Conclusions:

  • The tool offers free, convenient preliminary investigation of MIMIC-II data.
  • Researchers can quickly learn characteristics of MIMIC-II patients.
  • Future work includes adding analytics capabilities and utilizing MIMIC-III data.