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TubIAgnosis: A machine learning-based web application for active tuberculosis diagnosis using complete blood count data.

Mohamed GhermiMeriam MessediChahira AdidaKada BelarbiMohamed El Amine DjazouliZahia Ibtissem BerrazegMaryam Kallel SellamiYounes GheziniMahdi Louati
Published in: Digital health (2024)
TubIAgnosis, a ML-based web application utilizing CBC data, demonstrated promising performance for diagnosing active tuberculosis. This accessible and cost-effective tool could complement existing diagnostic methods, particularly in resource-limited settings. Prospective studies are warranted to further validate and refine this approach.
Keyphrases
  • machine learning
  • big data
  • mycobacterium tuberculosis
  • electronic health record
  • pulmonary tuberculosis
  • hiv aids
  • adverse drug
  • peripheral blood
  • data analysis
  • hepatitis c virus
  • human immunodeficiency virus