Cargando…
Prediction for the Risk of Multiple Chronic Conditions Among Working Population in the United States With Machine Learning Models
Objective: Chronic diseases have become the most prevalent and costly health conditions in the healthcare industry, deteriorating the quality of life, adversely affecting the work productivity, and costing astounding medical resources. However, few studies have been conducted on the predictive analy...
Formato: | Online Artículo Texto |
---|---|
Lenguaje: | English |
Publicado: |
IEEE
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8940207/ https://www.ncbi.nlm.nih.gov/pubmed/35402965 http://dx.doi.org/10.1109/OJEMB.2021.3117872 |
Ejemplares similares
-
Prevalence of multiple chronic conditions in the United States' Medicare population
por: Schneider, Kathleen M, et al.
Publicado: (2009) -
Association of Single and Multiple Medical Conditions with Work Status among Adults in the United States
por: Frith, Emily, et al.
Publicado: (2019) -
Prevalence of Multiple Chronic Conditions Among Medicare Beneficiaries, United States, 2010
por: Lochner, Kimberly A., et al.
Publicado: (2013) -
Machine-Learning
Rationalization and Prediction of
Solid-State Synthesis Conditions
por: Huo, Haoyan, et al.
Publicado: (2022) -
Prediction of Work-Related Risk Factors among Bus Drivers Using Machine Learning
por: Hanumegowda, Pradeep Kumar, et al.
Publicado: (2022)