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. It was chosen due to its advantages with respect t...
Objective To subgroup chronic pain patients using psychometric data and regress the variables most r...
OBJECTIVE: To investigate if pressure pain sensitivity is related to specific nerve trunks in the up...
We used a spectral clustering algorithm to find clusters among medical patients with lower back pain...
Identification of subgroups of patients with chronic pain provides meaningful insights into the char...
The objectives of this study were to explore the existence of subgroups in a cohort with chronic low...
A better understanding of the connection between risk factors associated with pain andfunction may a...
To subgroup chronic pain patients using psychometric data and regress the variables most responsible...
Objective: Carpal tunnel syndrome (CTS) is the most common focal nerve injury. People with CTS may s...
Background. Cluster analysis can be used to identify individuals similar in profile based on respons...
Objective To subgroup chronic pain patients using psychometric data and regress the variables most r...
The aim of the current study was to identify whether hyperexcitability of the central nervous system...
This study examined the severity of symptoms in carpal tunnel syndrome (CTS) in relation to nerve co...
Abstract: Carpal tunnel syndrome (CTS) is an entrapment neuropathy of the median nerve, and CTS can ...
OBJECTIVE : Patients with carpal tunnel syndrome (CTS) complain of motor symptoms. The study is aime...
Patients with carpal tunnel syndrome (CTS) may complain of sensory symptoms outside the typical medi...
Objective To subgroup chronic pain patients using psychometric data and regress the variables most r...
OBJECTIVE: To investigate if pressure pain sensitivity is related to specific nerve trunks in the up...
We used a spectral clustering algorithm to find clusters among medical patients with lower back pain...
Identification of subgroups of patients with chronic pain provides meaningful insights into the char...
The objectives of this study were to explore the existence of subgroups in a cohort with chronic low...
A better understanding of the connection between risk factors associated with pain andfunction may a...
To subgroup chronic pain patients using psychometric data and regress the variables most responsible...
Objective: Carpal tunnel syndrome (CTS) is the most common focal nerve injury. People with CTS may s...
Background. Cluster analysis can be used to identify individuals similar in profile based on respons...
Objective To subgroup chronic pain patients using psychometric data and regress the variables most r...
The aim of the current study was to identify whether hyperexcitability of the central nervous system...
This study examined the severity of symptoms in carpal tunnel syndrome (CTS) in relation to nerve co...
Abstract: Carpal tunnel syndrome (CTS) is an entrapment neuropathy of the median nerve, and CTS can ...
OBJECTIVE : Patients with carpal tunnel syndrome (CTS) complain of motor symptoms. The study is aime...
Patients with carpal tunnel syndrome (CTS) may complain of sensory symptoms outside the typical medi...
Objective To subgroup chronic pain patients using psychometric data and regress the variables most r...
OBJECTIVE: To investigate if pressure pain sensitivity is related to specific nerve trunks in the up...
We used a spectral clustering algorithm to find clusters among medical patients with lower back pain...