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81 : Using machine learning to predict venous thromboembolism in patients with uterine cancer

Researchers

Presenter

  • Vincent Wagner

Principal Investigators

  • Rachael Piver

  • Monica Levine

  • Floor Backes

  • David Cohn

  • Larry Copeland

  • Casey Cosgrove

  • Jeffrey Fowler

  • Christa Nagel

  • David O’Malley

  • Kristin Bixel

Medical Centers

  • LAC + USC, Medical Center, Los Angeles, CA, United States

  • University of Southern California, Los Angeles, CA, United States

  • USC Norris Cancer Center, Los Angeles, CA, United States

  • Keck School of Medicine of USC, Los Angeles, CA, United States

  • University Medical Center Freiburg, Freiburg, Germany

Locations

  • United States

Companies

  • N/A

Study Components

Therapeutic Area

  • Blood/haematological Diseases

  • Oncology (ONC)

  • Pulmonary/Respiratory Diseases

  • Cardiovascular (CVS)

Disease

  • Venous thrombosis

  • Endometrial Cancer

  • Solid malignancies

Biomarkers

  • N/A

Drug/Treatment

  • N/A

Outcome

  • N/A

Study Design

  • Cohort

  • Retrospective

Phase

  • NA

Study Id's

  • N/A

Sponsors

  • N/A

Result

  • Final

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