Journal ArticleDOI
Diagnostic Performance of an Electronic Nose, Fractional Exhaled Nitric Oxide, and Lung Function Testing in Asthma
Paolo Montuschi,Marco Santonico,Chiara Mondino,Giorgio Pennazza,Giulia Mantini,Eugenio Martinelli,Rosamaria Capuano,Giovanni Ciabattoni,Roberto Paolesse,Corrado Di Natale,Peter J. Barnes,Arnaldo D'Amico +11 more
TLDR
The electronic nose has a high diagnostic performance that can be increased when combined with FENO and MS fingerprints of VOCs could discriminate between patients with asthma and healthy subjects.About:
This article is published in Chest.The article was published on 2010-04-01. It has received 180 citations till now. The article focuses on the topics: Exhaled nitric oxide & Electronic nose.read more
Citations
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Pattern Recognition and Machine Learning
TL;DR: Probability distributions of linear models for regression and classification are given in this article, along with a discussion of combining models and combining models in the context of machine learning and classification.
Journal ArticleDOI
A European respiratory society technical standard : exhaled biomarkers in lung disease
Ildiko Horvath,Peter J. Barnes,Stelios Loukides,Peter J. Sterk,Marieann Högman,Anna-Carin Olin,Anton Amann,Balazs Antus,Eugenio Baraldi,Andras Bikov,Agnes W. Boots,Lieuwe D. J. Bos,Paul Brinkman,C. Bucca,Giovanna Elisiana Carpagnano,Massimo Corradi,Simona M. Cristescu,Johan C. de Jongste,Anh Tuan Dinh-Xuan,Edward Dompeling,Niki Fens,Stephen J. Fowler,Jens M. Hohlfeld,Jens M. Hohlfeld,Olaf Holz,Quirijn Jöbsis,Kim D G van de Kant,Hugo H. Knobel,Konstantinos Kostikas,Lauri Lehtimäki,Jon O. Lundberg,Paolo Montuschi,Alain Van Muylem,Giorgio Pennazza,Petra Reinhold,Fabio Luigi Massimo Ricciardolo,Philippe P.R. Rosias,Marco Santonico,Marc P. van der Schee,Frederik-Jan van Schooten,Antonio Spanevello,Thomy Tonia,Teunis J. Vink +42 more
TL;DR: Application of breath biomarker measurement in a standardised manner will provide comparable results, thereby facilitating the potential use of these biomarkers in clinical practice, and highlighting future research priorities in the field.
Journal ArticleDOI
Advances in Electronic-Nose Technologies Developed for Biomedical Applications
TL;DR: This paper summarizes the major electronic-nose technologies developed for healthcare and biomedical applications since the late 1980s when electronic aroma detection technologies were first recognized to be potentially useful in providing effective solutions to problems in the healthcare industry.
Journal ArticleDOI
Solid-state gas sensors for breath analysis: a review.
TL;DR: Sensors based breath analysis is expected to dramatically extend the diagnostic capabilities enabling the screening of large populations for the early diagnosis of pathologies and solid-state sensors are considered the natural complement to breath analysis.
Journal ArticleDOI
Nanomaterial-based sensors for detection of disease by volatile organic compounds.
Yoav Y. Broza,Hossam Haick +1 more
TL;DR: A concise, yet didactic review on a new diagnostics frontier based on the detection of disease-related volatile organic compounds (VOCs) by means of nanomaterial-based sensors using chemical, optical and mechanical transducers incorporating the most important classes ofnanomaterials.
References
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Pattern Recognition and Machine Learning
TL;DR: Probability Distributions, linear models for Regression, Linear Models for Classification, Neural Networks, Graphical Models, Mixture Models and EM, Sampling Methods, Continuous Latent Variables, Sequential Data are studied.
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Applied Multivariate Statistical Analysis
R. A. Johnson,Dean W. Wichern +1 more
TL;DR: In this article, the authors present an overview of the basic concepts of multivariate analysis, including matrix algebra and random vectors, as well as a strategy for analyzing multivariate models.
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Applied Multivariate Statistical Analysis.
TL;DR: In this article, the authors present an overview of the basic concepts of multivariate analysis, including matrix algebra and random vectors, as well as a strategy for analyzing multivariate models.
Pattern Recognition and Machine Learning
TL;DR: Probability distributions of linear models for regression and classification are given in this article, along with a discussion of combining models and combining models in the context of machine learning and classification.
Journal ArticleDOI
Guidelines for the diagnosis and management of asthma.
Alfred O. Berg,Julie Graves Moy +1 more
TL;DR: Patients with asthma can expect to control their symptoms, prevent most acute asthma exacerbations, maintain the activity levels they desire, and attain near normal lung function with use of guidelines for the diagnosis and treatment of asthma.