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Collaborate 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
    2022

  • Known Financial Commitments (USD)

    $393,348.88

  • Funder

    Netherlands Organisation for Health Research and Development (ZonMW)

  • Principal Investigator

    Dr. PWG Elbers

  • Research Location

    Netherlands

  • Lead Research Institution

    Amsterdam UMC - locatie VUmc

  • Research Priority Alignment

    N/A

  • Research Category

    Clinical characterisation and management

  • Research Subcategory

    Supportive care, processes of care and management

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

Project description Treatment in intensive care appears to be necessary for many COVID-19 patients. It is of great importance to gain more insight into the disease course of intensive care patients with COVID-19 and the factors that influence it. This can give direction to the treatment of future patients, help in 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 by means of machine learning, an important form of artificial intelligence, which is applied to large amounts of data from intensive care patients with COVID-19 from some 50 collaborating hospitals. The project is supported by the Dutch Intensive Care Association and the National Intensive Care Evaluation Foundation.