Predicting Physician Consultations for Low Back Pain Using Claims Data and Population-Based Cohort Data—An Interpretable Machine Learning Approach

(1) Background: Predicting chronic low back pain (LBP) is of clinical and economic interest as LBP leads to disabilities and health service utilization. This study aims to build a competitive and interpretable prediction model; (2) Methods: We used clinical and claims data of 3837 participants of a...

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Detalles Bibliográficos
Autores principales: Richter, Adrian, Truthmann, Julia, Chenot, Jean-François, Schmidt, Carsten Oliver
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622753/
https://www.ncbi.nlm.nih.gov/pubmed/34831773
http://dx.doi.org/10.3390/ijerph182212013

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622753/
https://www.ncbi.nlm.nih.gov/pubmed/34831773
http://dx.doi.org/10.3390/ijerph182212013

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