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Developing a computable phenotype for glioblastoma.

Sandra YanKaitlyn MelnickXing HeTianchen LyuRachel S F MoorMegan E H StillDuane A MitchellElizabeth A ShenkmanHan WangYi GuoJiang BianAshley P Ghiaseddin
Published in: Neuro-oncology (2024)
We developed and validated a CP algorithm for identifying patients with GBM using both structured and unstructured EHR data from a large tertiary care center. The final algorithm achieved an F1-score of 0.817, indicating a high performance, which minimizes possible biases from misclassification errors.
Keyphrases
  • tertiary care
  • electronic health record
  • machine learning
  • deep learning
  • adverse drug
  • big data
  • neural network
  • emergency department
  • data analysis