Cargando…

Mapping chronic disease prevalence based on medication use and socio-demographic variables: an application of LASSO on administrative data sources in healthcare in the Netherlands

BACKGROUND: Policymakers generally lack sufficiently detailed health information to develop localized health policy plans. Chronic disease prevalence mapping is difficult as accurate direct sources are often lacking. Improvement is possible by adding extra information such as medication use and demo...

Descripción completa

Detalles Bibliográficos
Autores principales:	Füssenich, Koen, Boshuizen, Hendriek C., Nielen, Markus M. J., Buskens, Erik, Feenstra, Talitha L.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2021
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8170948/ https://www.ncbi.nlm.nih.gov/pubmed/34078308 http://dx.doi.org/10.1186/s12889-021-10754-4

Ejemplares similares

Potential gains in health expectancy by improving lifestyle: an application for European regions
por: Füssenich, Koen, et al.
Publicado: (2019)

Estimating disease prevalence from drug utilization data using the Random Forest algorithm
por: Slobbe, Laurentius C J, et al.
Publicado: (2019)

Constructing synthetic populations in the age of big data
por: Nicolaie, Mioara A., et al.
Publicado: (2023)

Dynamic effects of smoking cessation on disease incidence, mortality and quality of life: The role of time since cessation
por: Hoogenveen, Rudolf T, et al.
Publicado: (2008)

Cost-Effectiveness of Four Tobacco Control Interventions in Mongolia
por: Tuvdendorj, Ariuntuya, et al.
Publicado: (2023)

Smoking-attributable burden of lung cancer in Mongolia a data synthesis study on differences between men and women
por: Tuvdendorj, Ariuntuya, et al.
Publicado: (2020)

The costs of inappropriate referral pathways in inpatient care for three major noncommunicable diseases in Mongolia: a national registry-based analysis
por: Tuvdendorj, Ariuntuya, et al.
Publicado: (2021)

Low Meat Consumption in the Netherlands Is Associated With Higher Intake of Fish, Nuts, Seeds, Cheese, Sweets, and Snacks: Results From a Two-Part Model
por: Heerschop, Samantha N., et al.
Publicado: (2022)

SOCIO DEMOGRAPHIC VARIABLES IN UNIPOLAR AND BIPOLAR ILLNESS
por: Agarwal, M.L., et al.
Publicado: (1982)

Reducing the Burden of Disease Through Tobacco Taxes in Mongolia: A Health Impact Analysis Using a Dynamic Public Health Model
por: Tuvdendorj, Ariuntuya, et al.
Publicado: (2021)

Temporal cross‐correlation between influenza‐like illnesses and invasive pneumococcal disease in The Netherlands
por: Hendriks, Wilke, et al.
Publicado: (2017)

Use of medicine pricing and reimbursement policies for universal health coverage in Indonesia
por: Wasir, Riswandy, et al.
Publicado: (2019)

The implementation of HTA in medicine pricing and reimbursement policies in Indonesia: Insights from multiple stakeholders
por: Wasir, Riswandy, et al.
Publicado: (2019)

Informing policy makers on the efficiency of population level tobacco control interventions in Asia: A systematic review of model-based economic evaluations
por: Tuvdendorj, Ariuntuya, et al.
Publicado: (2020)

Socio-Demographic Variables and Successful Aging of the Angolan Elderly
por: Galiana, Laura, et al.
Publicado: (2016)

Lifetime Medical Costs of Obesity: Prevention No Cure for Increasing Health Expenditure
por: van Baal, Pieter H. M, et al.
Publicado: (2008)

Participation in and attitude towards the national immunization program in the Netherlands: data from population-based questionnaires
por: Mollema, Liesbeth, et al.
Publicado: (2012)

Mapping and Modelling Malaria Risk Areas Using Climate, Socio-Demographic and Clinical Variables in Chimoio, Mozambique
por: Ferrao, Joao L., et al.
Publicado: (2018)

llperm: a permutation of regressor residuals test for microbiome data
por: Viljanen, Markus, et al.
Publicado: (2022)

Mapping Haplotype-haplotype Interactions with Adaptive LASSO
por: Li, Ming, et al.
Publicado: (2010)

Impulsivity and socio-demographic variables among bipolar disorder patients
por: Ajmi, S., et al.
Publicado: (2021)

More than cost‐effectiveness? Applying a second‐stage filter to improve policy decision making
por: Kan, Kaying, et al.
Publicado: (2021)

Internal consistency of a synthetic population construction method for chronic disease micro-simulation models
por: Kooiker, René, et al.
Publicado: (2018)

Using flexible methods to determine risk factors for ventilator-associated pneumonia in the Netherlands
por: van der Kooi, Tjallie I. I., et al.
Publicado: (2019)

Main Sources, Socio-Demographic and Anthropometric Correlates of Salt Intake in Austria
por: Hasenegger, Verena, et al.
Publicado: (2018)

The influence of selected socio-demographic variables on symptoms occurring during the menopause
por: Makara-Studzińska, Marta, et al.
Publicado: (2015)

Adolescents’ Nutrition: The Role of Health Literacy, Family and Socio-Demographic Variables
por: Delbosq, Stefano, et al.
Publicado: (2022)

Fitting additive Poisson models
por: Boshuizen, Hendriek C, et al.
Publicado: (2010)

LassoProt: server to analyze biopolymers with lassos
por: Dabrowski-Tumanski, Pawel, et al.
Publicado: (2016)

Spatial mapping and socio-demographic determinants of COVID-19 mortality in India
por: Khobragade, Ashish W., et al.
Publicado: (2021)

On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments
por: Windmeijer, Frank, et al.
Publicado: (2018)

Comparing Bayesian Variable Selection to Lasso Approaches for Applications in Psychology
por: Bainter, Sierra A., et al.
Publicado: (2023)

The relevance of socio-demographic and occupational variables for the assessment of work-related stress risk
por: Marinaccio, Alessandro, et al.
Publicado: (2013)

Sexual Activity in Peruvian Adolescents: Relevance of Socio-Demographic Variables and Sexual Attitudes
por: Sierra, Juan Carlos, et al.
Publicado: (2022)

Graph-regularized dual Lasso for robust eQTL mapping
por: Cheng, Wei, et al.
Publicado: (2014)

Association of Some Socio-Economic and Socio-Demographic Variables with Wasting Among Pre-School Children of North Bengal, India
por: Tigga, Pushpa Lata, et al.
Publicado: (2015)

NeuralLasso: Neural Networks Meet Lasso in Genomic Prediction
por: Mathew, Boby, et al.
Publicado: (2022)

Sparse EEG/MEG source estimation via a group lasso
por: Lim, Michael, et al.
Publicado: (2017)

Evaluation of the Recipe Function in Popular Dietary Smartphone Applications, with Emphasize on Features Relevant for Nutrition Assessment in Large-Scale Studies
por: Zhang, Liangzi, et al.
Publicado: (2019)

A Systematic Review and Meta-Analysis of Validation Studies Performed on Dietary Record Apps
por: Zhang, Liangzi, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_6642rtrlg38es98t03nad6eo6a