Cargando…
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...
Autores principales: | Richter, Adrian, Truthmann, Julia, Chenot, Jean-François, Schmidt, Carsten Oliver |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
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 |
Ejemplares similares
-
Evaluation of an ambulatory geriatric rehabilitation program - results of a matched cohort study based on claims data
por: Kiel, Simone, et al.
Publicado: (2020) -
Evaluation of Ambulatory Geriatric Rehabilitation (EAGER): study protocol of a matched cohort study based on claims data
por: Kiel, Simone, et al.
Publicado: (2017) -
Monitoring and management of chronic kidney disease in ambulatory care – analysis of clinical and claims data from a population-based study
por: Weckmann, Gesine, et al.
Publicado: (2022) -
Effect on healthcare utilization and costs of spinal manual therapy for acute low back pain in routine care: A propensity score matched cohort study
por: Walker, Jochen, et al.
Publicado: (2017) -
Quality of care in patients with atrial fibrillation in primary care: a cross-sectional study comparing clinical and claims data
por: Preuss, Rebekka, et al.
Publicado: (2016)