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Machine learning based prediction of severity of COVID-19 infection using health insurance claims data and information from medical checkups

Grant number: unknown

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Key facts

  • Disease

    COVID-19

  • Start & end year

    N/A

  • Known Financial Commitments (USD)

    $0

  • Funder

    RIKEN

  • Research Location

    Japan

  • Lead Research Institution

    N/A

  • 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

    Unspecified

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

We are developing concise and rapid machine learning based methods for the prediction of disease severity especially among younger COVID-19 infected persons using nationwide large health insurance claims data and medical checkup data.