Return to homepagePandemic Pact

Using Topic Segmentation to Enhance Concept Parsing and Identification of Negations

  • Funded by Patient-Centered Outcomes Research Institute
  • Total publications:0 publications

Grant number: unknown

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Key facts

  • Disease

    COVID-19

  • Known Financial Commitments (USD)

    $233,404

  • Funder

    Patient-Centered Outcomes Research Institute

  • Principal Investigator

    MD. Alexander Turchin

  • Research Location

    United States of America

  • Lead Research Institution

    Brigham and Women's Hospital

  • 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

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

In this enhancement, the research team will develop natural language processing tools to study the care of patients with COVID-19. The team will evaluate whether commonly used medications that decrease cardiovascular risks may decrease risks of adverse outcomes of COVID-19. They will also determine whether the effect of these medications on COVID-19 outcomes varies with presence and/or severity of type 1 or type 2 diabetes, obesity, hypertension, and atherosclerotic cardiovascular disease.