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: Logistic and Machine Learning Approaches to Identify Predictors of Venous Thromboembolism in Covid-19 Patients

Researchers

Presenter

  • Manuela F Sacioto

Principal Investigators

  • Warley C Silveira

  • Suely Rezende

  • Bruno B Paiva

  • Magda C Pires

  • Cláudio Valiense

  • Marcos A Gonçalves

  • Polianna D Pereira

  • Milena Marcolino

Medical Centers

  • Faculdade Ciências Médicas de Minas Gerais, Belo Horizonte, Brazil

  • Universidade Federal de Minas Gerais, Belo Horizonte, Brazil

Locations

  • Brazil

Companies

  • N/A

Study Components

Therapeutic Area

  • Cardiovascular (CVS)

  • Pulmonary/Respiratory Diseases

  • Infectious Diseases (ID)

  • Blood/haematological Diseases

Disease

  • Venous thrombosis

  • Deep vein thrombosis

  • Pulmonary embolism

  • Coronavirus disease

Biomarkers

  • N/A

Drug/Treatment

  • N/A

Outcome

  • N/A

Study Design

  • Multicenteric

  • Cohort

Phase

  • N/A

Study Id's

  • N/A

Sponsors

  • N/A

Result

  • N/A

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