scholarly journals Opportunity of early detection of hemorrhagic fever with renal syndrome

2021 ◽  
Vol 6 (1) ◽  
pp. 39-44
Author(s):  
Mariуa V. Stulova ◽  
Dmitrii Yu. Konstantinov ◽  
German V. Nedugov ◽  
Larisa L. Popova ◽  
Anna V. Lyubushkina ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Statistical Analysis ◽  
Discriminant Analysis ◽  
Early Detection ◽  
Infectious Diseases ◽  
Hemorrhagic Fever ◽  
Instrumental Data ◽  
Discriminant Model ◽  
Accuracy Index

Objectives to develop a method of early differential diagnosis of the hemorrhagic fever with renal syndrome (in 3 days after the onset) from other infectious and non-infectious diseases on the basis of mathematical-statistical analysis of clinical, functional and instrumental data. Material and methods. The study presented a complex clinical, functional and ultrasound examinations of 276 patients with various infectious and non-infectious diseases performed within 4 or 5 days from the onset of the disease. Results. Based on the discriminant analysis of the obtained data, a discriminant model for early differential diagnosis of hemorrhagic fever with renal syndrome was developed. Conclusion. The accuracy index of the differential diagnosis of HFRS using the developed discriminant model is 96%.

scholarly journals Prediction of severity of hemorrhagic fever with renal syndrome

2019 ◽  
Vol 11 (2) ◽  
pp. 35-39
Author(s):  
A. V. Lyubushkina ◽  
L. L. Popova ◽  
G. V. Nedugov ◽  
D. Yu. Konstantinov ◽  
M. V. Stulova
Keyword(s):  
Discriminant Analysis ◽  
Laboratory Data ◽  
Hemorrhagic Fever ◽  
Early Prediction ◽  
Laboratory Examination ◽  
Discriminant Model ◽  
Clinical Forms

The aim is to develop a method of early prediction of the severity of hemorrhagic fever with renal syndrome on the basis of clinical and laboratory data.A comprehensive clinical and laboratory examination of 144 patients with hemorrhagic fever with renal syndrome was carried out in the period of 2–5 days from the onset of the disease. Based on the discriminant analysis of the data obtained, a discriminant model for predicting the severity of hemorrhagic fever with renal syndrome was developed. The index of accuracy of prognosis of clinical forms of the disease on the basis of the developed discriminant model is 97.4%.

Detection of Leukemia Using Image Processing

2018 ◽  
Vol 8 (4) ◽  
pp. 61
Author(s):  
A. Sivasangari ◽  
G. Sasikumar
Keyword(s):  
Image Processing ◽  
Statistical Analysis ◽  
Early Detection ◽  
Visual Inspection ◽  
Causes Of Death ◽  
Cure Rate ◽  
Blood Disorders ◽  
Detection And Diagnosis ◽  
The Moment ◽  
Early Detection And Diagnosis

Leukemia   disease   is one   of    the   leading   causes   of death   among   human. Its  cure  rate and  prognosis   depends   mainly   on  the  early  detection   and  diagnosis  of   the  disease. At  the  moment, identification  of  blood  disorders  is  through   visual  inspection  of  microscopic  images  by  examining  changes  like  texture, geometry, colour  and   statistical  analysis  of  images . This  project  aims  to  preliminary  of  developing  a  detection  of  leukemia  types  using   microscopic  blood  sample using MATLAB. Images  are  used  as  they  are  cheap  and  do  not  expensive  for testing  and  lab  equipment.

scholarly journals Semi-Automatic Method for Early Detection of Xylella fastidiosa in Olive Trees Using UAV Multispectral Imagery and Geostatistical-Discriminant Analysis

2020 ◽  
Vol 13 (1) ◽  
pp. 14
Author(s):  
Annamaria Castrignanò ◽  
Antonella Belmonte ◽  
Ilaria Antelmi ◽  
Ruggiero Quarto ◽  
Francesco Quarto ◽  
...  
Keyword(s):  
Discriminant Analysis ◽  
Early Detection ◽  
Plant Pathogens ◽  
Early Stage ◽  
Xylella Fastidiosa ◽  
Mediterranean Countries ◽  
Parametric Classification ◽  
Aerial Vehicle ◽  
Olive Groves ◽  
Olive Trees

Xylella fastidiosa subsp. pauca (Xfp) is one of the most dangerous plant pathogens in the world. Identified in 2013 in olive trees in south–eastern Italy, it is spreading to the Mediterranean countries. The bacterium is transmitted by insects that feed on sap, and causes rapid wilting in olive trees. The paper explores the use of Unmanned Aerial Vehicle (UAV) in combination with a multispectral radiometer for early detection of infection. The study was carried out in three olive groves in the Apulia region (Italy) and involved four drone flights from 2017 to 2019. To classify Xfp severity level in olive trees at an early stage, a combined method of geostatistics and discriminant analysis was implemented. The results of cross-validation for the non-parametric classification method were of overall accuracy = 0.69, mean error rate = 0.31, and for the early detection class of accuracy 0.77 and misclassification probability 0.23. The results are promising and encourage the application of UAV technology for the early detection of Xfp infection.

scholarly journals Blood biomarkers for differential diagnosis and early detection of pancreatic cancer

2021 ◽  
pp. 102193
Author(s):  
Fawaz N. Al-Shaheri ◽  
Mohamed S.S. Alhamdani ◽  
Andrea Bauer ◽  
Nathalia Giese ◽  
Markus W. Büchler ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Differential Diagnosis ◽  
Early Detection ◽  
Blood Biomarkers

scholarly journals Nuclear Magnetic Resonance Metabolomics with Double Pulsed-Field-Gradient Echo and Automatized Solvent Suppression Spectroscopy for Multivariate Data Matrix Applied in Novel Wine and Juice Discriminant Analysis

Molecules ◽  
2021 ◽  
Vol 26 (14) ◽  
pp. 4146
Author(s):  
José Enrique Herbert-Pucheta ◽  
José Daniel Lozada-Ramírez ◽  
Ana E. Ortega-Regules ◽  
Luis Ricardo Hernández ◽  
Cecilia Anaya de Parrodi
Keyword(s):  
Statistical Analysis ◽  
Discriminant Analysis ◽  
Field Gradient ◽  
Multivariate Statistical Analysis ◽  
Data Matrix ◽  
Cabernet Sauvignon ◽  
Gradient Echo ◽  
Multivariate Statistical ◽  
Orthogonal Projections ◽  
Pulsed Field

The quality of foods has led researchers to use various analytical methods to determine the amounts of principal food constituents; some of them are the NMR techniques with a multivariate statistical analysis (NMR-MSA). The present work introduces a set of NMR-MSA novelties. First, the use of a double pulsed-field-gradient echo (DPFGE) experiment with a refocusing band-selective uniform response pure-phase selective pulse for the selective excitation of a 5–10-ppm range of wine samples reveals novel broad 1H resonances. Second, an NMR-MSA foodomics approach to discriminate between wine samples produced from the same Cabernet Sauvignon variety fermented with different yeast strains proposed for large-scale alcohol reductions. Third a comparative study between a nonsupervised Principal Component Analysis (PCA), supervised standard partial (PLS-DA), and sparse (sPLS-DA) least squares discriminant analysis, as well as orthogonal projections to a latent structures discriminant analysis (OPLS-DA), for obtaining holistic fingerprints. The MSA discriminated between different Cabernet Sauvignon fermentation schemes and juice varieties (apple, apricot, and orange) or juice authentications (puree, nectar, concentrated, and commercial juice fruit drinks). The new pulse sequence DPFGE demonstrated an enhanced sensitivity in the aromatic zone of wine samples, allowing a better application of different unsupervised and supervised multivariate statistical analysis approaches.

Anti-DNA antibodies in the blood of patients with schizophrenia possess DNA-hydrolyzing activity

2016 ◽  
Vol 33 (S1) ◽  
pp. s247-s248
Author(s):  
E. Ermakov ◽  
L. Smirnova ◽  
L. Sinyanskii ◽  
D. Dobrygina ◽  
A. Semke ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Infectious Diseases ◽  
Negative Symptoms ◽  
Clinical Symptoms ◽  
Dnase Activity ◽  
Positive Symptoms ◽  
Linear Forms ◽  
Dna Antibodies ◽  
Competing Interest ◽  
Positive And Negative Symptoms

IntroductionAutoantibodies (Abs) to different neuronal receptors and DNA were detected in the blood of patients with schizophrenia. Abs hydrolyzing DNA were detected in pool of polyclonal autoantibodies in autoimmune and infectious diseases, such catalytic Abs were named abzymes.ObjectivesTo investigate the level of anti-DNA antibodies and DNA-hydrolyzing activity of IgG from the serum of patients with schizophrenia depending on leading clinical symptoms.Aims– To measure the concentration of anti-DNA Abs in serum of patients with leading positive and negative symptoms;– to determine DNA-hydrolyzing activity of IgG.MethodsIn our study, 51 patients were included. The levels of antiDNA Abs were determined using ELISA. DNA-hydrolyzing activity was detected as the level(%) of supercoiled pBluescript DNA transition in circular and linear forms. Statistical analysis was performed in “Statistica 9.0”.ResultsAnti-DNA Abs of patients with schizophrenia not only bind DNA, but quite efficiently hydrolyze the substrate. IgG of patient with schizophrenia were shown to possess DNA hydrolyzing activity. It should be noted that DNAase activity of IgG in patients with schizophrenia with a negative symptoms was significantly higher, than in patients with positive symptoms (Table 1).ConclusionsThe data show a correlation with the level of DNase activity and leading symptoms of patients with schizophrenia.Disclosure of interestThe authors have not supplied their declaration of competing interest.

Affluent and Nonaffluent Consumers′ Needs: Attitudes, and Information‐Seeking Behaviour in the Financial Services Marketplace

1990 ◽  
Vol 4 (4) ◽  
pp. 41-54 ◽  
Author(s):  
Edward G. Thomas ◽  
S.R. Rao ◽  
Rajshekhar G. Javalgi
Keyword(s):  
Statistical Analysis ◽  
Discriminant Analysis ◽  
Survey Data ◽  
Financial Institutions ◽  
Financial Services ◽  
Information Seeking ◽  
Financial Services Industry ◽  
Market Segments ◽  
Information Seeking Behaviour ◽  
Services Industry

Considers the proliferation of products and services in the financial services industry aimed at different market segments. Highlights the affluent and nonaffluent market segments. Employs statistical analysis of survey data to evaluate the financial services needs, attitudes, and information‐seeking behaviour of these segments. Suggests implications for the managers of financial institutions, based on the study findings. Includes appendices on methodology and discriminant analysis used in the study.

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