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Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
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[Clinical data mining by exploring public MIMIC-II intensive care database].

Jian Wang, Zhengbo Zhang, Weidong Wang

    Zhongguo Yi Liao Qi Xie Za Zhi = Chinese Journal of Medical Instrumentation
    |May 19, 2015
    PubMed
    Summary
    This summary is machine-generated.

    The multi-parameter intelligent monitoring in intensive care II (MIMIC-II) database offers free access to critical care data. Research using MIMIC-II found significant differences in heart rate and blood pressure circadian variations between septic patient survival groups.

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    Area of Science:

    • Biomedical Informatics
    • Critical Care Medicine
    • Physiological Monitoring

    Background:

    • Intensive care units (ICUs) generate vast amounts of complex patient data.
    • Access to comprehensive ICU data is crucial for advancing clinical research and improving patient outcomes.
    • The development of robust, accessible databases is essential for large-scale physiological studies.

    Purpose of the Study:

    • To introduce the freely available Multi-parameter Intelligent Monitoring in Intensive Care II (MIMIC-II) database.
    • To describe the infrastructure, implementation, and applications of the MIMIC-II database.
    • To demonstrate the utility of MIMIC-II through a case study on circadian variations in sepsis.

    Main Methods:

    • Development and maintenance of the MIMIC-II database by leading institutions.
    • Data extraction and analysis for clinical studies using the MIMIC-II resource.
    • Investigation of circadian rhythmicity in physiological parameters within the septic patient cohort.

    Main Results:

    • The MIMIC-II database provides a valuable resource for clinical research.
    • A significant difference in circadian variation of heart rate and blood pressure was observed between survivors and non-survivors in septic patients.
    • The study highlighted key techniques for analyzing circadian rhythms in critical care data.

    Conclusions:

    • The MIMIC-II database is a significant contribution to open-access medical research.
    • Circadian variations in vital signs are potential indicators of sepsis patient prognosis.
    • Further research utilizing MIMIC-II can uncover critical insights into intensive care medicine.