2 datasets found
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    MIMIC-IV

    • physionet.org
    Updated Oct 11, 2024
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    Alistair Johnson; Lucas Bulgarelli; Tom Pollard; Brian Gow; Benjamin Moody; Steven Horng; Leo Anthony Celi; Roger Mark (2024). MIMIC-IV [Dataset]. http://doi.org/10.13026/kpb9-mt58
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    Dataset updated
    Oct 11, 2024
    Authors
    Alistair Johnson; Lucas Bulgarelli; Tom Pollard; Brian Gow; Benjamin Moody; Steven Horng; Leo Anthony Celi; Roger Mark
    License

    https://github.com/MIT-LCP/license-and-dua/tree/master/draftshttps://github.com/MIT-LCP/license-and-dua/tree/master/drafts

    Description

    Retrospectively collected medical data has the opportunity to improve patient care through knowledge discovery and algorithm development. Broad reuse of medical data is desirable for the greatest public good, but data sharing must be done in a manner which protects patient privacy. Here we present Medical Information Mart for Intensive Care (MIMIC)-IV, a large deidentified dataset of patients admitted to the emergency department or an intensive care unit at the Beth Israel Deaconess Medical Center in Boston, MA. MIMIC-IV contains data for over 65,000 patients admitted to an ICU and over 200,000 patients admitted to the emergency department. MIMIC-IV incorporates contemporary data and adopts a modular approach to data organization, highlighting data provenance and facilitating both individual and combined use of disparate data sources. MIMIC-IV is intended to carry on the success of MIMIC-III and support a broad set of applications within healthcare.

  2. P

    MIMIC-IV Dataset

    • paperswithcode.com
    • physionet.org
    + more versions
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    MIMIC-IV Dataset [Dataset]. https://paperswithcode.com/dataset/mimic-iv
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    Description

    Retrospectively collected medical data has the opportunity to improve patient care through knowledge discovery and algorithm development. Broad reuse of medical data is desirable for the greatest public good, but data sharing must be done in a manner which protects patient privacy.

    The Medical Information Mart for Intensive Care (MIMIC)-III database provided critical care data for over 40,000 patients admitted to intensive care units at the Beth Israel Deaconess Medical Center (BIDMC). Importantly, MIMIC-III was deidentified, and patient identifiers were removed according to the Health Insurance Portability and Accountability Act (HIPAA) Safe Harbor provision. MIMIC-III has been integral in driving large amounts of research in clinical informatics, epidemiology, and machine learning. Here we present MIMIC-IV, an update to MIMIC-III, which incorporates contemporary data and improves on numerous aspects of MIMIC-III. MIMIC-IV adopts a modular approach to data organization, highlighting data provenance and facilitating both individual and combined use of disparate data sources. MIMIC-IV is intended to carry on the success of MIMIC-III and support a broad set of applications within healthcare.

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Alistair Johnson; Lucas Bulgarelli; Tom Pollard; Brian Gow; Benjamin Moody; Steven Horng; Leo Anthony Celi; Roger Mark (2024). MIMIC-IV [Dataset]. http://doi.org/10.13026/kpb9-mt58

MIMIC-IV

Explore at:
Dataset updated
Oct 11, 2024
Authors
Alistair Johnson; Lucas Bulgarelli; Tom Pollard; Brian Gow; Benjamin Moody; Steven Horng; Leo Anthony Celi; Roger Mark
License

https://github.com/MIT-LCP/license-and-dua/tree/master/draftshttps://github.com/MIT-LCP/license-and-dua/tree/master/drafts

Description

Retrospectively collected medical data has the opportunity to improve patient care through knowledge discovery and algorithm development. Broad reuse of medical data is desirable for the greatest public good, but data sharing must be done in a manner which protects patient privacy. Here we present Medical Information Mart for Intensive Care (MIMIC)-IV, a large deidentified dataset of patients admitted to the emergency department or an intensive care unit at the Beth Israel Deaconess Medical Center in Boston, MA. MIMIC-IV contains data for over 65,000 patients admitted to an ICU and over 200,000 patients admitted to the emergency department. MIMIC-IV incorporates contemporary data and adopts a modular approach to data organization, highlighting data provenance and facilitating both individual and combined use of disparate data sources. MIMIC-IV is intended to carry on the success of MIMIC-III and support a broad set of applications within healthcare.

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