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Causality Assessment Between Drugs and Fatal Cerebral Haemorrhage Using Electronic Medical Records: Comparative Evaluation of Disease-Specific and Conventional Methods.

Miki OhtaSatoru MiyawakiShinichiroh YokotaMakoto YoshimotoTatsuya MaruyamaDaisuke KoideTakashi MoritoyoNobuhito Saito
Published in: Drugs - real world outcomes (2024)
Our findings suggest the utility of the ACAD-FCH when assessing death cases with intracranial haemorrhage. However, larger studies including intra-rater assessments are warranted for further validation of this algorithm.
Keyphrases
  • machine learning
  • subarachnoid hemorrhage
  • deep learning
  • case control
  • adverse drug
  • optic nerve
  • electronic health record