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447 : Machine Learning for Prediction of Cancer-Associated Venous Thromboembolism

Researchers

Presenter

  • Simon Mantha

Principal Investigators

  • Andrew Dunbar

  • Kelly L. Bolton

  • Sean Devlin

  • Dmitriy Gorenshteyn

  • Mark Donoghue

  • Maria E. Arcila

  • Gerald A. Soff

Medical Centers

  • Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY

  • Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY

  • Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY

  • Memorial Sloan Kettering Cancer Center, Port Washington, NY

  • Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY

  • Department of Surgery, Gynecologic Service, Memorial Sloan-Kettering Cancer Center, New York, NY

  • Department of Surgery, Gynecologic Service, Memorial Sloan-Kettering Cancer Center, New York, NY

Locations

  • United States

Companies

  • N/A

Study Components

Therapeutic Area

  • Oncology (ONC)

Disease

  • Venous thrombosis

  • Deep vein thrombosis

  • Pulmonary embolism

  • Solid malignancies

Biomarkers

  • Catalase

  • Body mass index

Drug/Treatment

  • N/A

Outcome

  • N/A

Study Design

  • Cohort

Phase

  • NA

Study Id's

  • N/A

Sponsors

  • N/A

Result

  • N/A

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