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Data Science and Machine Learning applied to the diagnosis of COVID-19 based on clinical spectrum data from patients at the Hospital Albert Einstein

Grant number: unknown

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Key facts

  • Disease

    COVID-19

  • start year

    -99

  • Known Financial Commitments (USD)

    $0

  • Funder

    University of São Paulo

  • Principal Investigator

    N/A

  • Research Location

    Brazil

  • Lead Research Institution

    N/A

  • Research Priority Alignment

    N/A

  • Research Category

    Pathogen: natural history, transmission and diagnostics

  • Research Subcategory

    Diagnostics

  • 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

Using data from real patients tested for COVID 19 provided by Hospital Israelita Albert Einstein and data science and machine learning techniques, predict positive cases among suspects.