Prediction of Multisite Pain Incidence in Adolescence Using a Machine Learning Approach: A 2‐Year Longitudinal Study

Prediction of Multisite Pain Incidence in Adolescence Using a Machine Learning Approach: A 2‐Year Longitudinal Study

ABSTRACT Background and Aims Multisite pain is a prevalent and significant issue among adolescents, often associated with adverse physical, psychological, and social outcomes. We aimed to (1) predict multisite pain incidence in the whole body and in the musculoskeletal sites in adolescents, and (2)...

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Bibliographic Details
Main Authors: Laura Joensuu, Ilkka Rautiainen, Arto J. Hautala, Kirsti Siekkinen, Katariina Pirnes, Tuija H. Tammelin
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:Health Science Reports
Subjects:
child health
epidemiology
musculoskeletal health
predictive modeling
Online Access:https://doi.org/10.1002/hsr2.70252
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