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Development of a clinical prediction rule to diagnose Pneumocystis jirovecii pneumonia in the World Health Organization's algorithm for seriously ill HIV-infected patients.

Gary MaartensAnnemie StewartRulan GrieselAndre Pascal KengneFelix DubeMark P NicolMolebogeng X RangakaMarc Mendelson
Published in: Southern African journal of HIV medicine (2018)
We developed simple clinical prediction rules for PJP, which, if externally validated, could assist decision-making in the WHO seriously ill algorithm.
Keyphrases
  • hiv infected patients
  • machine learning
  • deep learning
  • antiretroviral therapy
  • neural network