Preliminary investigation of human exhaled breath for tuberculosis diagnosis by multidimensional gas chromatography – Time of flight mass spectrometry and machine learning

• Published in: Journal of chromatography. B, Analytical technologies in the biomedical and life sciences Vol. 1074-1075; pp. 46 - 50
• Main Authors: Beccaria, Marco, Mellors, Theodore R., Petion, Jacky S., Rees, Christiaan A., Nasir, Mavra, Systrom, Hannah K., Sairistil, Jean W., Jean-Juste, Marc-Antoine, Rivera, Vanessa, Lavoile, Kerline, Severe, Patrice, Pape, Jean W., Wright, Peter F., Hill, Jane E.
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.02.2018
• Subjects: Adolescent; Adult; Breath analysis; Breath Tests - methods; Comprehensive two-dimensional gas chromatography; Female; Gas Chromatography-Mass Spectrometry - methods; Humans; Machine Learning; Male; Middle Aged; Pulmonary tuberculosis; Tuberculosis - diagnosis; Volatile organic compounds; Volatile Organic Compounds - analysis; Volatile Organic Compounds - chemistry; Young Adult; Volatile organic compounds; Comprehensive two-dimensional gas chromatography; Breath analysis; Pulmonary tuberculosis; Machine learning

Tuberculosis (TB) remains a global public health malady that claims almost 1.8 million lives annually. Diagnosis of TB represents perhaps one of the most challenging aspects of tuberculosis control. Gold standards for diagnosis of active TB (culture and nucleic acid amplification) are sputum-depende...