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e24042 : Predictors of venous thromboembolism in cancer patients using machine learning.

Researchers

Presenter

  • Ayse Ece Cali Daylan

Principal Investigators

  • Danai Khemasuwan

  • Hyun S. Kim

  • Parvathy Geetha

  • Sylvia Vania Alarcon Velasco

  • Christopher S. Lathan

Medical Centers

  • Steward St Elizabeths Medical Center, Boston, MA

  • Virginia Commonwealth University, Mineral, VA

  • Beth Israel Deaconess Medical Center, Boston, MA

  • Dana-Farber Cancer Institute at St. Elizabeths Medical Center, Brighton, MA

  • Dana-Farber Cancer Institute, Boston, MA

Locations

  • United States

Companies

  • N/A

Study Components

Therapeutic Area

  • Pulmonary/Respiratory Diseases

  • Oncology (ONC)

  • Blood/haematological Diseases

  • Cardiovascular (CVS)

Disease

  • Hematological malignancies

  • Venous thrombosis

  • Solid malignancies

Biomarkers

  • N/A

Drug/Treatment

  • N/A

Outcome

  • N/A

Study Design

  • N/A

Phase

  • N/A

Study Id's

  • N/A

Sponsors

  • N/A

Result

  • N/A

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