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Development and validation of a case-finding algorithm for the identification of non-small cell lung cancers in a region-wide Italian pathology registry.

Andrea SpiniPietro RoselliniCristiana BellanFolco FuriesiSilvano GiorgiSandra DonniniRosa GiniMarina ZicheFrancesco SalvoGiuseppe Roberto
Published in: PloS one (2022)
The final NSCLC-finding algorithm showed with very high PPV. SE was in line with the expected contribution of PR to overall cases captured in the regional Cancer Registry, with a trend of increase over calendar time. Given the promising algorithm validity and the wide use of SNOMED terminology in electronic pathology records, the proposed algorithm is expected to be easily adapted to other electronic databases for (pharmaco)epidemiology purposes.
Keyphrases
  • machine learning
  • deep learning
  • small cell lung cancer
  • neural network
  • papillary thyroid
  • artificial intelligence
  • risk factors
  • bone marrow
  • squamous cell
  • lymph node metastasis