Vibrational spectroscopy and multivariate analysis techniques in the clinical immunology laboratory: a review of current applications and requirements for diagnostic use

We assessed trends in causes and outcomes of hospitalization among people living with HIV (PLWH) admitted to the Infectious Diseases, AIDS and Clinical Immunology Research Center (IDACIRC) in Tbilisi, Georgia. Retrospective analysis included adult PLWH admitted to IDACIRC for at least 24 h. Internationally validated categorization was used to split AIDS admissions into mild, moderate, and severe AIDS. A total of 2085 hospitalizations among 1123 PLWH were registered over 2012–2017 with 65.1% (731/1123) of patients presenting with CD4 count <200. Of 2085 hospitalizations, 931 (44.7%) were due to AIDS-defining illnesses. In 2012, AIDS conditions accounted for 50.3% of admissions compared to 41.6% in 2017 ( p = 0.16). Overall, 167 hospitalizations (8.0%) resulted in lethal outcome. AIDS admissions had higher mortality than non-AIDS admissions (11.5% vs 5.2%, p < 0.0001). Among 167 deceased patients, 137 (82.0%) had CD4 count <200 at admission. In multivariate analysis, factors significantly associated with mortality included severe AIDS versus non-AIDS admission (OR 2.81, 95% CI: 1.10–7.15), CD4 cell counts <50 (OR 4.34, 95% CI: 2.52–7.47), and 50–100 (OR 2.37, 95% CI: 1.27–4.42) versus >200. Active AIDS disease remains a significant cause of hospitalization and fatal outcome in Georgia. Earlier diagnosis of HIV is critical for decreasing AIDS hospitalizations and mortality.

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Rancidity Estimation of Perilla Seed Oil by Using Near-Infrared Spectroscopy and Multivariate Analysis Techniques

Journal of Spectroscopy ◽

10.1155/2017/1082612 ◽

2017 ◽

Vol 2017 ◽

pp. 1-10 ◽

Cited By ~ 2

Author(s):

Suk-Ju Hong ◽

Shin-Joung Rho ◽

Ah-Yeong Lee ◽

Heesoo Park ◽

Jinshi Cui ◽

...

Keyword(s):

Multivariate Analysis ◽

Infrared Spectroscopy ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Seed Oil ◽

Prediction Models ◽

Oxidation Process ◽

Analysis Techniques ◽

Peroxide Values ◽

Perilla Seed

Near-infrared spectroscopy and multivariate analysis techniques were employed to nondestructively evaluate the rancidity of perilla seed oil by developing prediction models for the acid and peroxide values. The acid, peroxide value, and transmittance spectra of perilla seed oil stored in two different environments for 96 and 144 h were obtained and used to develop prediction models for different storage conditions and time periods. Preprocessing methods were applied to the transmittance spectra of perilla seed oil, and multivariate analysis techniques, such as principal component regression (PCR), partial least squares regression (PLSR), and artificial neural network (ANN) modeling, were employed to develop the models. Titration analysis shows that the free fatty acids in an oil oxidation process were more affected by relative humidity than temperature, whereas peroxides in an oil oxidation process were more significantly affected by temperature than relative humidity for the two different environments in this study. Also, the prediction results of ANN models for both acid and peroxide values were the highest among the developed models. These results suggest that the proposed near-infrared spectroscopy technique with multivariate analysis can be used for the nondestructive evaluation of the rancidity of perilla seed oil, especially the acid and peroxide values.

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Acoustic Feature Analysis for Hypernasality Detection in Children

Encyclopedia of Healthcare Information Systems ◽

10.4018/978-1-59904-889-5.ch003 ◽

2008 ◽

pp. 16-22

Author(s):

Genaro Daza ◽

Luis Gonzalo Sánchez ◽

Franklin A. Sepúlveda ◽

Castellanos D. Germán

Keyword(s):

Feature Selection ◽

Multivariate Analysis ◽

Latent Variable ◽

Search Algorithms ◽

Feature Analysis ◽

Automatic Identification ◽

Acoustic Features ◽

Acoustic Feature ◽

Analysis Techniques ◽

Heuristic Search Algorithms

The present work analyzes the statistical effectiveness of different acoustic features in the automatic identification of hypernasality. Acoustic features reflect part of information contained in perceptual analysis; in part, due to their estimation is derived directly or indirectly from the vocal cords behavior. Consequently, it is convenient to apply multivariate analysis techniques in determining the effectiveness of voice features. The effectiveness is studied by using multivariate analysis techniques that are meant for feature extraction and feature selection, as well (latent variable models, heuristic search algorithms).

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Multivariate analysis techniques applied for the performance measurement of Federal University Hospitals of Brazil

Computers & Industrial Engineering ◽

10.1016/j.cie.2018.09.020 ◽

2018 ◽

Vol 126 ◽

pp. 16-29 ◽

Cited By ~ 2

Author(s):

Maria Gabriela Mendonça Peixoto ◽

Marcel Andreotti Musetti ◽

Maria Cristina Angélico Mendonça

Keyword(s):

Multivariate Analysis ◽

Performance Measurement ◽

University Hospitals ◽

Analysis Techniques

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Confirmation of Sources of Cotton Gin Noise by Multivariate Analysis Techniques

Transactions of the ASAE ◽

10.13031/2013.33666 ◽

1982 ◽

Vol 25 (4) ◽

pp. 1050-1056 ◽

Cited By ~ 1

Author(s):

Weldon Laird ◽

Roy V. Baker

Keyword(s):

Multivariate Analysis ◽

Analysis Techniques ◽

Cotton Gin

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Digital gap of the colombian tourism sector

DYNA ◽

10.15446/dyna.v87n213.81962 ◽

2020 ◽

Vol 87 (213) ◽

pp. 173-177

Author(s):

Oscar José Ospino Ayala ◽

Alexandra Barrios Sandoval ◽

Ramon Antonio Matos Mareño

Keyword(s):

Multivariate Analysis ◽

Current Situation ◽

Factorial Analysis ◽

Objective Knowledge ◽

Analysis Techniques ◽

Annual Survey ◽

Tourism Sector ◽

Information And Communication ◽

Digital Gap ◽

Main Components

The purpose of this research is to know the current situation of digitization that exists in the Colombian tourism sector. For this, the data of the Annual Survey of Service-2018 were used, to which the multivariate analysis techniques of categorical main components and factorial analysis were applied, in the construction of an index that measures the digitization from the Technologies of the Information and communication. With the results of this application it was demonstrated that the techniques of multivariate analysis guarantee objective knowledge that allows the planning and implementation of strategies to face digital changes and generate innovation.

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