Determination of component concentrations in models of exhaled air samples using principal component analysis and canonical correlation analysis

We consider the problem of finding concentrations of molecular gases in the models of exhaled air samples in terms of their absorption spectra. We introduce model spectra describing the exhaled air samples as linear combinations of the absorption spectra of individual molecular gases with given coefficients. The absorption spectra are calculated on the basis of the database HITRAN. The concentrations are determined using Principal Component Analysis and Canonical Correlation Analysis

Predictive models for COVID-19 detection using routine blood tests and machine learning

The problem of accurate, fast, and inexpensive COVID-19 tests has been urgent till now. Standard COVID-19 tests need high-cost reagents and specialized laboratories with high safety requirements, are time-consuming. Data of routine blood tests as a base of SARS-CoV-2 invasion detection allows using the most practical medicine facilities. But blood tests give general information about a patient’s state, which is not directly associated with COVID-19. COVID-19-specific features should be selected from the list of standard blood characteristics, and decision-making software based on appropriate clinical data should be created. This review describes the abilities to develop predictive models for COVID-19 detection using routine blood tests and machine learning

Жан Альфред Фурнье - основоположник европейской венерологии и дерматологии (к 100-летию со дня смерти)

The article presents a life story of a great French dermatologist and venereologist, one of the founders of the theory of syphilis Jean-Alfred Fournier (1832-1914). It provides data on the published works by Jean-Alfred Fournier, some of which earned him a doctoral degree. It also provides data on Fournier’s election as a member of the French Academy of Medicine in 1879 as well as on the founding of the French Society of Dermatology and Syphiligraphy by Fournier and other French dermatologists in 1889. The article defines the contribution made by Fournier to the development of venereology and practical medicine in the second half of the 19th century and early 20th century.В статье представлена история жизни и деятельности великого французского дерматолога и венеролога, одного из основоположников учения о сифилисе Жана Альфреда Фурнье (1832-1914 гг.). Представлены данные об опубликованных работах Ж. Фурнье, часть из которых дали ему возможность получить докторскую степень. Приводятся данные об избрании Фурнье в 1879 г. членом французской Медицинской академии, а также об основании Фурнье совместно с французскими дерматологами в 1889 г. Французского научного общества дерматологии и сифилидологии. Определен вклад Фурнье в развитие венерологии и практической медицины во второй половине XIX и начале XX века

The classification of the patients with pulmonary diseases using breath air samples spectral analysis

Technique of exhaled breath sampling is discussed. The procedure of wavelength auto-calibration is proposed and tested. Comparison of the experimental data with the model absorption spectra of 5% CO2 is conducted. The classification results of three study groups obtained by using support vector machine and principal component analysis methods are presented

Kalman filtering in the problem of noise reduction in the absorption spectra of exhaled air

We examined possibilities of the Kalman filter for reducing the noise effects in the analysis of absorption spectra of gas samples, in particular, for samples of the exhaled air. It has been shown that when comparing groups of patients with broncho-pulmonary diseases on the basis of the absorption spectra analysis of exhaled air samples the data preprocessing with the Kalman filtering can improve the classification sensitivity using a support vector kernel with mpl

Classification of patients with broncho-pulmonary diseases based on analysis of absorption spectra of exhaled air samples with SVM and neural network algorithm application

In this work results of classification of patients with broncho-pulmonary diseases based on analysis of exhaled air samples are presented. These results obtained by application of laser photoacoustic spectroscopy method and intellectual data analysis ones (Principal Component Analysis, Support vector machines, neural networks). Absorption spectra of exhaled air of gathered volunteers were registered; data preparation for classification procedure of absorption spectra of exhaled air of healthy and sick people was made. Also error matrices for neural networks and sensitivity/specificity values in case of classification with SVM method were obtained. This work was partially supposed by the Federal Target Program for Research and Development, Contract No. 14.578.21.0082 (unique identifier of applied scientific research and experimental development RFMEFI57814X0082)

Possibilities of laser spectroscopy for monitoring the profile dynamics of the volatile metabolite in exhaled air

In this work we studied applicability of the laser spectroscopy for fixing differences in composition of exhaled air depending on the position of the body in different physical states. Using principal component analysis we show that the use of the laser spectroscopy methods is sufficiently effective to solve this problem and provide additional opportunities for the comprehensive study of the human condition