Search results for "cluster [track data analysis]"

Exploring Inflammatory Status in Febrile Seizures Associated with Urinary Tract Infections: A Two-Step Cluster Approach

2021

Background: Urinary tract infections (UTIs) are considered common facilitating factors, along with other infections, in triggering febrile seizures (FS). The main purpose of our study was to identify specific inflammatory patterns of UTI cases from other infections in a specific cluster, using a combination of inflammatory biomarkers to differentiate UTIs from other bacterial diseases triggering FS. Method: This prospective study included a number of 136 patients with 197 distinct FS events, from patients hospitalized in the Pediatric Clinical Hospital Sibiu, among which 10.2% were diagnosed with UTIs. Results: In one-third of the patients with UTIs (20 cases), the symptoms were limited to …

Using Two-Step Cluster Analysis and Latent Class Cluster Analysis to Classify the Cognitive Heterogeneity of Cross-Diagnostic Psychiatric Inpatients

2020

The heterogeneity of cognitive profiles among psychiatric patients has been reported to carry significant clinical information. However, how to best characterize such cognitive heterogeneity is still a matter of debate. Despite being well suited for clinical data, cluster analysis techniques, like the Two-Step and the Latent Class, received little to no attention in the literature. The present study aimed to test the validity of the cluster solutions obtained with Two-Step and Latent Class cluster analysis on the cognitive profile of a cross-diagnostic sample of 387 psychiatric inpatients. Two-Step and Latent Class cluster analysis produced similar and reliable solutions. The overall result…

Principal component analysis and cluster analysis for measuring the local organisation of human atrial fibrillation

2001

The distribution of atrial electrogram types has been proposed to characterise human atrial fibrillation. The aim of this study was to provide computer procedures for evaluating the local organisation of intracardiac recordings during AF as an alternative to off-line manual classification. Principal components analysis (PCA) reduced the data set to a few representative activations, and cluster analysis (CA) measured the average dissimilarity between consecutive activations of an intracardiac signal. The data set consisted of 106 bipolar signals recorded on 11 patients during electrophysiological studies for catheter ablation. Performances of PCA and CA in distinguishing between organised (t…

Walking Stroop carpet: an innovative dual-task concept for detecting cognitive impairment

2013

A Perrochon,1,2,5 G Kemoun,1,2 E Watelain,3,4 A Berthoz51ISIS, Research Institute on Handicap and Aging, Paris; 2Université de Poitiers, Laboratoire Mobilité, Vieillissement et Exercice (MOVE), EA 6314, 3Université de Valenciennes, LAMIH, UMR CNRS 8201, 4Université Sud Toulon Var, HandiBio, EA 4322, La Garde, 5LPPA, UMR CNRS 7152, Collège de France, Paris, FranceBackground: Several studies have reported the potential value of the dual-task concept during locomotion in clinical evaluation because cognitive decline is strongly associated with gait abnormalities. However, current dual-task tests appear to be insufficient for early diagnosi…

Conditional predictive inference for online surveillance of spatial disease incidence

2011

This paper deals with the development of statistical methodology for timely detection of incident disease clusters in space and time. The increasing availability of data on both the time and the location of events enables the construction of multivariate surveillance techniques, which may enhance the ability to detect localized clusters of disease relative to the surveillance of the overall count of disease cases across the entire study region. We introduce the surveillance conditional predictive ordinate as a general Bayesian model-based surveillance technique that allows us to detect small areas of increased disease incidence when spatial data are available. To address the problem of mult…

Pain and clinical findings in the low back: a study of industrial employees with 5-, 10-, and 28-year follow-ups.

2009

Little is known about the relationships of clinical findings in the low back with low back pain (LBP) in the normal working population. We studied whether physiotherapist's findings in the low back were associated with local and radiating LBP among a cohort (n=902) of employees in the engineering industry. A systematic non-proportional sample was drawn in strata by age, gender, and occupational class. The non-proportionality aimed at increasing sample size in smaller strata. Physiotherapists performed the straight-leg raising test (SRL), and made assessments of the fingertip-to-floor distance and pain in palpation of the lumbar interspinous spaces. The variables on pain at the interspinous …

Adult attachment styles : a person-oriented approach

2001

Some Evidence of the Cluster Struture Inside of 9Be

2017

Angular distributions of protons, deuterons, tritons and alpha-particles emitted from the reactions in the 2H+9Be-system at Elab=19.5 MeV were measured with an aim to shed light on the internal cluster structure of 9Be and the study of possible cluster transfer of 5He. The analyses suggest a significant contribution of five-nucleon transfer in the reaction channel 9Be(d,4He)7Li. peerReviewed

Understanding the Study Experiences of Students in Low Agency Profile: Towards a Smart Education Approach

2020

In this paper, we use student agency analytics to examine how university students who assessed to have low agency resources describe their study experiences. Students ( n=292 ) completed the Agency of University Students (AUS) questionnaire. Furthermore, they reported what kinds of restrictions they experienced during the university course they attended. Four different agency profiles were identified using robust clustering. We then conducted a thematic analysis of the open-ended answers of students who assessed to have low agency resources. Issues relating to competence beliefs, self-efficacy, student-teacher relations, time as a resource, student well-being, and course contents seemed to …

Perfect Hashing Structures for Parallel Similarity Searches

2015

International audience; Seed-based heuristics have proved to be efficient for studying similarity between genetic databases with billions of base pairs. This paper focuses on algorithms and data structures for the filtering phase in seed-based heuristics, with an emphasis on efficient parallel GPU/manycores implementa- tion. We propose a 2-stage index structure which is based on neighborhood indexing and perfect hashing techniques. This structure performs a filtering phase over the neighborhood regions around the seeds in constant time and avoid as much as possible random memory accesses and branch divergences. Moreover, it fits particularly well on parallel SIMD processors, because it requ…