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BioProfile

Grant number: unknown

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Key facts

  • Disease

    COVID-19

  • Start & end year

    N/A

  • Funder

    University of São Paulo

  • Principal Investigator

    Unspecified Unspecified Unspecified

  • Research Location

    Brazil

  • Lead Research Institution

    N/A

  • Research Priority Alignment

    N/A

  • Research Category

    Clinical characterisation and management

  • Research Subcategory

    Disease pathogenesis

  • Special Interest Tags

    Innovation

  • Study Type

    Clinical

  • Clinical Trial Details

    Not applicable

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

We are developing a computational tool called BioProfile that allows quick visualization of symptoms, comorbidities, and clinical and demographic data of patients with COVID-19. Just using a tablet, the healthcare professional can have access to all patients in an ICU ward or even the entire hospital. This digital record allows the monitoring of actions during the hospitalization period and in directing health professionals' decision-making with greater efficiency. To calculate the risk of severe COVID19, we will use our machine learning algorithm by being trained with data from Albert Einstein hospital. The objective is that all information can only be accessed by professionals with a password or biometrics. The initial prototype is here: http://bioprofile.duckdns.org: 3838/app/#section-home.