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Using natural language processing to construct a metastatic breast cancer cohort from linked cancer registry and electronic medical records data.

Albee Y LingAllison W KurianJennifer L Caswell-JinGeorge W SledgeNigam H ShahSuzanne R Tamang
Published in: JAMIA open (2019)
To enable population-based research on MBC, we developed a framework for retrospective case detection combining EMR and CCR data. Our classifier achieved good AUC, sensitivity, and specificity without expert-labeled examples.
Keyphrases
  • metastatic breast cancer
  • electronic health record
  • big data
  • papillary thyroid
  • cross sectional
  • squamous cell carcinoma
  • data analysis
  • computed tomography
  • pet imaging
  • young adults
  • machine learning
  • quantum dots