Development of a Treatment-decision Algorithm for Human Immunodeficiency Virus-uninfected Children Evaluated for Pulmonary Tuberculosis.

Kenneth S GunasekeraElisabetta WaltersMarieke M van der ZalmMegan PalmerJoshua L WarrenAnneke C HesselingTed CohenJames A Seddon

Published in: Clinical infectious diseases : an official publication of the Infectious Diseases Society of America (2021)

Clinical evidence alone was sufficient to make most clinical antituberculosis treatment decisions. The use of evidence-based algorithms may improve decentralized, rapid treatment initiation, reducing the global burden of childhood mortality.

Keyphrases

human immunodeficiency virus
pulmonary tuberculosis
machine learning
hepatitis c virus
hiv infected
cardiovascular disease
antiretroviral therapy
coronary artery disease
hiv aids
replacement therapy
sensitive detection
early life