Search results for "Discriminant"

2017

OBJECTIVE Traditionally, gait analysis has been centered on the idea of average behavior and normality. On one hand, clinical diagnoses and therapeutic interventions typically assume that average gait patterns remain constant over time. On the other hand, it is well known that all our movements are accompanied by a certain amount of variability, which does not allow us to make two identical steps. The purpose of this study was to examine changes in the intra-individual gait patterns across different time-scales (i.e., tens-of-mins, tens-of-hours). METHODS Nine healthy subjects performed 15 gait trials at a self-selected speed on 6 sessions within one day (duration between two subsequent ses…

Fusion of the 1H NMR data of serum, urine and exhaled breath condensate in order to discriminate chronic obstructive pulmonary disease and obstructiv…

2015

Chronic obstructive pulmonary disease, COPD, affects the condition of the entire human organism and causes multiple comorbidities. Pathological lung changes lead to quantitative changes in the composition of the metabolites in different body fluids. The obstructive sleep apnea syndrome, OSAS, occurs in conjunction with chronic obstructive pulmonary disease in about 10–20 % of individuals who have COPD. Both conditions share the same comorbidities and this makes differentiating them difficult. The aim of this study was to investigate whether it is possible to diagnose a patient with either COPD or the OSA syndrome using a set of selected metabolites and to determine whether the metabolites t…

European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Head and Neck Module, updated version: Preliminary psychomet…

2015

Background We provided preliminary psychometric data for the European Organization for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire–Head and Neck Module, updated version (QLQ-H&N43) from a group of Serbian laryngectomized patients. Methods The study included 170 subjects. The QLQ-H&N43 is a 43-item questionnaire, with 12 multi-item scales and 7 single-item symptom scales. All subjects also completed the Quality of Life Questionnaire-Core 30-questions (QLQ-C30). Results Good internal consistency (Cronbach's α of above 0.7) was found for 5 of the 7 scales. All QLQ-H&N43 scales correlated negatively as predicted with all QLQ-C30 functioning scales. The correlations wi…

Identifying physical activity type in manual wheelchair users with spinal cord injury by means of accelerometers

2015

Objectives: The main objective of this study was to develop and test classification algorithms based on machine learning using accelerometers to identify the activity type performed by manual wheelchair users with spinal cord injury (SCI). Setting: The study was conducted in the Physical Therapy department and the Physical Education and Sports department of the University of Valencia. Methods: A total of 20 volunteers were asked to perform 10 physical activities, lying down, body transfers, moving items, mopping, working on a computer, watching TV, arm-ergometer exercises, passive propulsion, slow propulsion and fast propulsion, while fitted with four accelerometers placed on both wrists, c…

Prognostic Value of Radiomics Signature By Diagnostic 18F-FDG PET/CT Analysis in Aggressive Non-Hodgkin's Lymphoma

2018

Abstract BACKGROUND Although the overall prognosis of patients with aggressive non-Hodgkin's lymphoma (NHL) has improved, nearly a third of patients will have refractory disease or relapse. Identification of these high-risk patients using traditional prognostic factors is limited. PET is the recommended imaging modality for the staging of FDG-avid lymphoma but the value of a comprehensive new imaging biomarkers analysis applied to PET for the prediction of patients outcome has still not been deeply investigated. New metrics estimating the overall tumor burden such as metabolic tumor volume (MTV) and those that may capture intratumoral biological heterogeneity such as total lesion glycolysis…

Self‐management of immunomodulatory drug treatment in multiple myeloma patients

2019

Objective Immunomodulatory drugs (IMIDs: thalidomide, lenalidomide and pomalidomide) are widely used in patients with multiple myeloma (MM). The aim of our study was to validate a questionnaire to evaluate the self-capacity of MM patients to manage IMID treatment including side effects. Methods We used a method adapted from the recommendations of the European Organisation for Research and Treatment of Cancer (EORTC) to validate a French questionnaire for patients with MM treated with IMIDs. Results The face validity was evaluated in 15 patients and the construct validity in 56 patients. For discriminant validity, two groups were constituted by gender and depending on whether they had a prev…

Multiple factor analysis: principal component analysis for multitable and multiblock data sets

2013

A fast liquid chromatography-mass spectrometry method combined with linear discriminant analysis for the characterization of extra virgin sicilian ol…

2008

Optimal Spectral Wavelengths for Discriminating Orchard Species Using Multivariate Statistical Techniques

2019

Sustainable management of orchard fields requires detailed information about the tree types, which is a main component of precision agriculture programs. To this end, hyperspectral imagery can play a major role in orchard tree species mapping. Efficient use of hyperspectral data in combination with field measurements requires the development of optimized band selection strategies to separate tree species. In this study, field spectroscopy (350 to 2500 nm) was performed through scanning 165 spectral leaf samples of dominant orchard tree species (almond, walnut, and grape) in Chaharmahal va Bakhtiyari province, Iran. Two multivariable methods were employed to identify the optimum wavelengths:…

Acoustic detection and classification of river boats

2011

We present a robust algorithm to detect the arrival of a boat of a certain type when other background noises are present. It is done via the analysis of its acoustic signature against an existing database of recorded and processed acoustic signals. We characterize the signals by the distribution of their energies among blocks of wavelet packet coefficients. To derive the acoustic signature of the boat of interest, we use the Best Discriminant Basis method. The decision is made by combining the answers from the Linear Discriminant Analysis (LDA) classifier and from the Classification and Regression Trees (CART) that is also accompanied with an additional unit, called Aisles, that reduces fal…