An Unsupervised Learning Approach for Multimodal Low Back Pain Stratification

A novel framework was developed that integrates multimodal data to identify distinct subgroups differentiated by their physical and psychosocial characteristics in a population-based cohort, demonstrating potential for advancing personalized care.

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Publication Details

Journal
Spine
Published
2025-12-12
DOI
https://doi.org/10.1097/brs.0000000000005593
Primary Topic
Musculoskeletal pain and rehabilitation
Type
article
Field-Weighted Citation Impact
0.00
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article

An Unsupervised Learning Approach for Multimodal Low Back Pain Stratification

Jaro Ilari Karppinen, Eveliina Heikkala, Narasimharao Kowlagi, Aleksei Tiulpin et al.
Spine
Musculoskeletal pain and rehabilitation
article

An Unsupervised Learning Approach for Multimodal Low Back Pain Stratification

Jaro Ilari Karppinen, Eveliina Heikkala, Narasimharao Kowlagi, Aleksei Tiulpin, Simo Saarakkala
article en

Abstract

A novel framework was developed that integrates multimodal data to identify distinct subgroups differentiated by their physical and psychosocial characteristics in a population-based cohort, demonstrating potential for advancing personalized care.

SpineVol. 51(8)
Oulu University Hospital (FI), South Karelia Central Hospital (FI), Etelä-Karjalan sosiaali ja terveyspiiri (FI), University of Oulu (FI)
Openalex Percentile: Top 57%
Musculoskeletal pain and rehabilitation
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