Cargando…
Exploring predictors of welfare dependency 1, 3, and 5 years after mental health-related absence in danish municipalities between 2010 and 2012 using flexible machine learning modelling
BACKGROUND: Using XGBoost (XGB), this study demonstrates how flexible machine learning modelling can complement traditional statistical modelling (multinomial logistic regression) as a sensitivity analysis and predictive modelling tool in occupational health research. DESIGN: The study predicts welf...
Autor principal: | Bjerregaard, Søren Skotte |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9893621/ https://www.ncbi.nlm.nih.gov/pubmed/36732716 http://dx.doi.org/10.1186/s12889-023-15106-y |
Ejemplares similares
-
Patterns of attendance to health checks in a municipality setting: the Danish ‘Check Your Health Preventive Program’()
por: Bjerregaard, Anne-Louise, et al.
Publicado: (2016) -
Candidatus Amarolinea and Candidatus Microthrix Are Mainly Responsible for Filamentous Bulking in Danish Municipal Wastewater Treatment Plants
por: Nierychlo, Marta, et al.
Publicado: (2020) -
Exploring resistance to implementation of welfare technology in municipal healthcare services – a longitudinal case study
por: Nilsen, Etty R., et al.
Publicado: (2016) -
Socioeconomic Predictors of Trends in Cancer Mortality among Municipalities in Japan, 2010–2019
por: Okui, Tasuku
Publicado: (2021) -
Does occupational forward bending of the back increase long-term sickness absence risk? A 4-year prospective register-based study using device-measured compositional data analysis
por: Gupta, Nidhi, et al.
Publicado: (2022)