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

The results highlight that rather than any isolated variable, a variety of factors contribute to future multisite pain.

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Publication Details

Journal
Health Science Reports
Published
2024-12-01
DOI
https://doi.org/10.1002/hsr2.70252
Primary Topic
Pediatric Pain Management Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Arto J. Hautala, Tuija Tammelin, Kirsti Siekkinen, Katariina Pauliina Pirnes et al.
Health Science Reports
Pediatric Pain Management Techniques
article

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

Arto J. Hautala, Tuija Tammelin, Kirsti Siekkinen, Katariina Pauliina Pirnes, Laura Joensuu, Ilkka Rautiainen
article en

Abstract

The results highlight that rather than any isolated variable, a variety of factors contribute to future multisite pain.

Health Science ReportsVol. 7(12)
JAMK University of Applied Sciences (FI), University of Jyväskylä (FI)
Academy of Finland, Ella ja Georg Ehrnroothin Säätiö, Juho Vainion Säätiö
Openalex Percentile: Top 65%
Pediatric Pain Management Techniques
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