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A decision tree built with parameters obtained by computed tomographic pulmonary angiography is useful for predicting adverse outcomes in non-high-risk acute pulmonary embolism patients.

Dong JiaXue-Lian LiQin ZhangGang HouXiao-Ming ZhouJian Kang
Published in: Respiratory research (2019)
A decision tree built by CTPA parameters can predict adverse outcomes in non-high-risk APE patients.
Keyphrases
  • pulmonary embolism
  • end stage renal disease
  • ejection fraction
  • chronic kidney disease
  • newly diagnosed
  • prognostic factors
  • computed tomography
  • optical coherence tomography
  • intensive care unit
  • hepatitis b virus