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Developing and optimizing a computable phenotype for incident venous thromboembolism in a longitudinal cohort of patients with cancer.

Ang LiWilson Luiz da Costa-JúniorDanielle GuffeyEmily M MilnerAnthony K AllamKaren M KurianFrancisco J NovoaMarguerite D PocheRaka BandyoCarolina GranadaCourtney D WallaceNeil A ZakaiChristopher I Amos
Published in: Research and practice in thrombosis and haemostasis (2022)
Our ICD/medication-based algorithm can accurately identify VTE phenotype among patients with cancer with a high PPV of 95%. The combined algorithm should be considered in EHR databases that have access to such capabilities.
Keyphrases
  • venous thromboembolism
  • machine learning
  • direct oral anticoagulants
  • deep learning
  • cardiovascular disease
  • neural network
  • healthcare
  • big data
  • electronic health record
  • artificial intelligence
  • type diabetes