6533b823fe1ef96bd127ee37
RESEARCH PRODUCT
Patient Profiling Based on Spectral Clustering for an Enhanced Classification of Patients with Tension-Type Headache
Lidiane Lima FlorencioEsperanza Navarro-pardoJosé D. Martín-guerreroOscar J. Pellicer-valeroCésar Fernández-de-las-peñasMargarita Cigarán-méndezsubject
medicine.medical_specialtyPressure painPopulationgroupslcsh:Technologysensitizationlcsh:Chemistry03 medical and health sciences0302 clinical medicineQuality of lifePatient profilingInternal medicinemedicineGeneral Materials SciencepaineducationInstrumentationlcsh:QH301-705.5030304 developmental biologyFluid Flow and Transfer Processes0303 health scienceseducation.field_of_studyspectral clusteringSleep qualitybusiness.industrylcsh:TProcess Chemistry and TechnologyGeneral Engineeringtension-type headacheSpectral clusteringlcsh:QC1-999Computer Science ApplicationsPsicologialcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040Anxietymedicine.symptombusinesslcsh:Engineering (General). Civil engineering (General)030217 neurology & neurosurgerylcsh:Physicsdescription
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, pressure pain thresholds (PPTs), dynamic pressure thresholds (DPT) and evoked-pain, and the number of trigger points (TrPs) were evaluated. Spectral clustering was used to identify clusters of patients without any previous assumption. A total of three clusters of patients based on a main difference on headache frequency were identified: one cluster including patients with chronic TTH (cluster 2) and two clusters including patients with episodic TTH (clusters 0&ndash
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2020-12-20 | Applied Sciences |