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Working together against Corona with Intensive Care Data

  • Funded by Netherlands Organisation for Health Research and Development (ZonMW)
  • Total publications:0 publications

Grant number: 1.043E+13

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Key facts

  • Disease

    COVID-19

  • Start & end year

    2020
    2023

  • Funder

    Netherlands Organisation for Health Research and Development (ZonMW)

  • Principal Investigator

    Dr. PWG Elbers

  • Research Location

    N/A

  • Lead Research Institution

    Amsterdam UMC Locatie VUmc

  • Research Priority Alignment

    N/A

  • Research Category

    Clinical characterisation and management

  • Research Subcategory

    Prognostic factors for disease severity

  • Special Interest Tags

    N/A

  • Study Type

    Clinical

  • Clinical Trial Details

    Not applicable

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

Treatment in intensive care appears to be necessary for many COVID-19 patients. It is very important to gain more insight into the disease course of intensive care patients with COVID-19 and the factors that influence this. This can provide direction for the treatment of future patients, help with the choice of who should and should not be treated in intensive care and contribute to future capacity planning. Research The project investigates which combination of treatments and properties of which individual intensive care patients with COVID-19 leads to the best outcomes. This is done using machine learning, an important form of artificial intelligence, which is applied to large amounts of data from intensive care patients with COVID-19 from around 50 collaborating hospitals. The project is supported by the Dutch Association for Intensive Care and the National Intensive Care Evaluation Foundation.