Search results for " Cluster"

Spectral Clustering Reveals Different Profiles of Central Sensitization in Women with Carpal Tunnel Syndrome

2021

Identification of subgroups of patients with chronic pain provides meaningful insights into the characteristics of a specific population, helping to identify individuals at risk of chronification and to determine appropriate therapeutic strategies. This paper proposes the use of spectral clustering (SC) to distinguish subgroups (clusters) of individuals with carpal tunnel syndrome (CTS), making use of the obtained patient profiling to argue about potential management implications. SC is a powerful algorithm that builds a similarity graph among the data points (the patients), and tries to find the subsets of points that are strongly connected among themselves, but weakly connected to others.…

C4BQO in familial clustering of liver cirrhosis

1993

Systematic review of psychotherapeutic treatments for “minor” personality disorders

2011

IntroductionAmong personality disorders (PDs), antisocial and borderline personality disorder are well-studied. However, the remaining PDs (in the following called “minor PDs”) pose major problems in everyday-health care settings. People affected often present with additional axis-l disorders such as substance-related, mood or anxiety disorders, and are among those most difficult to treat.ObjectivesTo systematically review the current evidence of psychotherapeutic treatments for “minor” personality disordersMethodsIn the context of Cochrane Collaboration reviews for Cluster A, B and C PDs, exhaustive literature searches were done to identify the current RCT evidence for PD treatments. The e…

A fully automatic 2D segmentation method for uterine fibroid in MRgFUS treatment evaluation

2015

PurposeMagnetic Resonance guided Focused UltraSound (MRgFUS) represents a non-invasive surgical approach that uses thermal ablation to treat uterine fibroids. After the MRgFUS treatment, an operator must manually segment the treated fibroid areas to evaluate the NonPerfused Volume (NPV). This manual approach is operator-dependent, introducing issues of result reproducibility, which could lead to errors in the subsequent follow-up phase. Moreover, manual segmentation is time-consuming, and can have a negative impact on the optimization of both machine-time and operator-time. MethodTo address these issues, in this paper a novel fully automatic method based on the unsupervised Fuzzy C-Means cl…

A web search methodology for different user typologies

2009

Search engines and directories are the main tools used to find desired information into the ocean of digital contents that is the Web. However, they are not presently able to understand the user specific needs and starting knowledge because their inability to simulate the processes of human mind. Natural Language Processing, Folksonomy, Semantic Web and Serendipitous Surfing are some of the recent research fields towards understanding of human natural language and in general of real user needs. This work aims to add one step more to this evolution path by presenting a new search methodology that allows users to create new knowledge paths on the web based on their specific requirements. Thus…

Clinical support in radiation therapy scenarios: MR brain tumor segmentation using an unsupervised fuzzy C-Means clustering technique

2016

EHMTI-0220. Cortical excitability in episodic cluster headache.

2014

Methods Twenty-five patients with episodic CH and thirteen healthy subjects underwent an experimental session where we evaluated, in both hemispheres, motor-cortical response to: 1) single-pulse TMS: i.e. motor threshold (MT); input-output (IO) curves and cortical silent period (CSP) and 2) paired-pulse TMS: i.e. intracortical facilitation (ICF) and short intracortical inhibition (SICI). Thirteen patients were evaluated outside bout, while the remaining twelve patients were inside bout at the time of recording.

NeXt for neuro-radiosurgery: A fully automatic approach for necrosis extraction in brain tumor MRI using an unsupervised machine learning technique

2017

Stereotactic neuro-radiosurgery is a well-established therapy for intracranial diseases, especially brain metastases and highly invasive cancers that are difficult to treat with conventional surgery or radiotherapy. Nowadays, magnetic resonance imaging (MRI) is the most used modality in radiation therapy for soft-tissue anatomical districts, allowing for an accurate gross tumor volume (GTV) segmentation. Investigating also necrotic material within the whole tumor has significant clinical value in treatment planning and cancer progression assessment. These pathological necrotic regions are generally characterized by hypoxia, which is implicated in several aspects of tumor development and gro…

The effect of the cluster randomized HIPPA intervention on childcare children’s overall physical activity

2017

Background The effect of the cluster randomized Home- and childcare-based Intervention to Promote Physical Activity (HIPPA) intervention on the everyday physical activity (PA) of children between the ages of 4 to 5 years was evaluated. Material/Methods Fourteen childcare centers with 102 children born in 2007 and their families participated in the study. HIPPA was implemented over a single preschool year in seven childcare centers while seven other centers continued their normal care (control group, CG). The PA levels of children were assessed by accelerometers six times every six months during two and a half years of research. Valid PA data were obtained from 69 children at baseline and an…

Patient Profiling Based on Spectral Clustering for an Enhanced Classification of Patients with Tension-Type Headache

2020

Profiling groups of patients in clusters can provide meaningful insights into the features of the population, thus helping to identify people at risk of chronification and the development of specific therapeutic strategies. Our aim was to determine if spectral clustering is able to distinguish subgroups (clusters) of tension-type headache (TTH) patients, identify the profile of each group, and argue about potential different therapeutic interventions. A total of 208 patients (n = 208) with TTH participated. Headache intensity, frequency, and duration were collected with a 4-week diary. Anxiety and depressive levels, headache-related burden, sleep quality, health-related quality of life, pre…