Rapid diagnosis of latent and active pulmonary tuberculosis by autofluorescence spectroscopy of blood plasma combined with artificial neural network algorithm

•A rapid, accurate, label-free and non-invasive diagnosis method of pulmonary tuberculosis (TB) has been developed by using plasma autofluorescence spectroscopy and Machine Learning algorithm.•It is the first time that the autofluorescence spectroscopy combined with optimized three-classification Ar...

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Bibliographic Details
Published in:	Photodiagnosis and photodynamic therapy Vol. 50; p. 104426
Main Authors:	Yue, Fengjiao, Li, Si, Wu, Lijuan, Chen, Xuerong, Zhu, Jianhua
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier B.V 01.12.2024 Elsevier
Subjects:	Adult Algorithms Artificial neural network Autofluorescence spectroscopy Blood plasma Female Humans Latent Tuberculosis - diagnosis Linear discriminant analysis Male Middle Aged Neural Networks, Computer Principal component analysis Pulmonary tuberculosis Spectrometry, Fluorescence - methods Tuberculosis, Pulmonary - blood Tuberculosis, Pulmonary - diagnosis Autofluorescence spectroscopy Artificial neural network Linear discriminant analysis Pulmonary tuberculosis Blood plasma Principal component analysis
ISSN:	1572-1000, 1873-1597, 1873-1597
Online Access:	Get full text
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