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Validation of an algorithm that determines stroke diagnostic code accuracy in a Japanese hospital-based cancer registry using electronic medical records.

Yasufumi GonDaijiro KabataKeichi YamamotoAyumi ShintaniKenichi TodoHideki MochizukiManabu Sakaguchi
Published in: BMC medical informatics and decision making (2017)
Combining the diagnostic code and clinical examination improved the proportion of the presence of disease in the diagnostic code and achieved appropriate accuracy for research. Clinical research using EMRs require outcome validation prior to conducting a study.
Keyphrases
  • machine learning
  • atrial fibrillation
  • papillary thyroid
  • deep learning
  • squamous cell carcinoma
  • squamous cell
  • young adults
  • neural network