Cargando…
The Use of Cluster Analysis by Partitioning around Medoids (PAM) to Examine the Heterogeneity of Patients with Low Back Pain within Subgroups of the Treatment Based Classification System
BACKGROUND: Current evidence in low back pain (LBP) focuses on population averages and traditional multivariate analyses to find the significant difference between variables. Such a focus actively obscured the heterogeneity and increased errors. Cluster analysis (CA) addresses the mentioned shortcom...
Autores principales: | Shokri, Esmaeil, Razeghi, Mohsen, Raeisi Shahraki, Hadi, Jalli, Reza, Motealleh, Alireza |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Shiraz University of Medical Sciences
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9923237/ https://www.ncbi.nlm.nih.gov/pubmed/36818010 http://dx.doi.org/10.31661/jbpe.v0i0.2001-1047 |
Ejemplares similares
-
A New Clustering Method for Knee Movement Impairments using Partitioning Around Medoids Model
por: Reza Farazdaghi, Mohammad, et al.
Publicado: (2020) -
Clustering Undergraduate Students Based on Academic Burnout and Satisfaction from the Field Using Partitioning around Medoid
por: Sanjari, Elaheh, et al.
Publicado: (2023) -
A Parallel Architecture for the Partitioning around Medoids (PAM) Algorithm for Scalable Multi-Core Processor Implementation with Applications in Healthcare
por: Mushtaq, Hassan, et al.
Publicado: (2018) -
Overlapping community detection in networks based on link partitioning and partitioning around medoids
por: Ponomarenko, Alexander, et al.
Publicado: (2021) -
Scellpam: an R package/C++ library to perform parallel partitioning around medoids on scRNAseq data sets
por: Domingo, Juan, et al.
Publicado: (2023)