Výsledky vyhledávání - "Koen Füssenich"

Akademický článek

Constructing synthetic populations in the age of big data

Autor: Mioara A. Nicolaie, Koen Füssenich, Caroline Ameling, Hendriek C. Boshuizen

Publikováno v: Population Health Metrics, Vol 21, Iss 1, Pp 1-16 (2023)

Abstract Background To develop public health intervention models using micro-simulations, extensive personal information about inhabitants is needed, such as socio-demographic, economic and health figures. Confidentiality is an essential characterist

Externí odkaz: https://doaj.org/article/ae722832c5f6481f8a551d8c29405763

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Akademický článek

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

Autor: Koen Füssenich, Hendriek C. Boshuizen, Markus M. J. Nielen, Erik Buskens, Talitha L. Feenstra

Publikováno v: BMC Public Health, Vol 21, Iss 1, Pp 1-8 (2021)

Abstract 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 b

Externí odkaz: https://doaj.org/article/d260a2f640324ccabe142e4ed26acd17

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Akademický článek

Potential gains in health expectancy by improving lifestyle: an application for European regions

Autor: Koen Füssenich, Wilma J. Nusselder, Stefan K. Lhachimi, Hendriek C. Boshuizen, Talitha F. Feenstra

Publikováno v: Population Health Metrics, Vol 17, Iss 1, Pp 1-7 (2019)

Abstract Background Prevention aiming at smoking, alcohol consumption, and BMI could potentially bring large gains in life expectancy (LE) and health expectancy measures such as Healthy Life Years (HLY) and Life Expectancy in Good Perceived Health (L

Externí odkaz: https://doaj.org/article/510857eea5dc46338df46a7b778b6927

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Estimating disease prevalence from drug utilization data using the Random Forest algorithm

Autor: Markus M J Nielen, Laurentius C J Slobbe, Koen Füssenich, Albert Wong, Hendriek Boshuizen, Hans van Oers, Johan Polder, Talitha L Feenstra

Publikováno v: The European Journal of Public Health
European Journal of Public Health, 29(4), 615-621. OXFORD UNIV PRESS INC
European Journal of Public Health, 29(4), 615-621
European Journal of Public Health, 29(4), 615-621. Oxford University Press
European Journal of Public Health 29 (2019) 4

Background Aggregated claims data on medication are often used as a proxy for the prevalence of diseases, especially chronic diseases. However, linkage between medication and diagnosis tend to be theory based and not very precise. Modelling disease p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6cf67b193a835e4565150d022cd1b900
https://hdl.handle.net/11370/8ff31a2e-5823-4e05-b2c1-ef1d83127c15

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Inequality in Hiring Decisions:Evaluating Recruitment Decisions with Discrete Choice Experiments

Autor: Koen Füssenich, Inge Marije Brokerhof

Publikováno v: Brokerhof, I & Fussenich, K 2020, ' Inequality in Hiring Decisions : Evaluating Recruitment Decisions with Discrete Choice Experiments ', Academy of Management Proceedings, vol. 2020, no. 1, 2020.20031 . https://doi.org/10.5465/AMBPP.2020.20031abstract
Academy of Management Proceedings, 2020(1):2020.20031. Academy of Management

Individual characteristics, such as gender, health and nationality, have often shown to influence recruitment decisions. This study employs the use of discrete choice experiments to investigate how different individual characteristics influence hirin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6af2d1d74a51615fac1dc2662af94847
https://research.vu.nl/en/publications/22d1b9a7-a811-4628-9cb4-c1bfec44637a

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Mapping Chronic Disease Prevalence based on Medication Use and Socio-demographic variables: an Application of LASSO in healthcare in the Netherlands

Autor: Erik Buskens, Markus M J Nielen, Talitha L Feenstra, Koen Füssenich, Hendriek Boshuizen

Publikováno v: Research Square, 1-16. Research Square Company
STARTPAGE=1;ENDPAGE=16;TITLE=Research Square

Objectives 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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b57daafd7b0f99e84d6a9e093ff23a3c
https://doi.org/10.21203/rs.2.21491/v1

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Potential gains in health expectancy by improving lifestyle: an application for European regions

Autor: Wilma J. Nusselder, Talitha F. Feenstra, Stefan K. Lhachimi, Koen Füssenich, Hendriek C. Boshuizen

Publikováno v: Population health metrics, 17(1). BioMed Central Ltd.
Population Health Metrics, Vol 17, Iss 1, Pp 1-7 (2019)
Population Health Metrics
Population health metrics, 17:1
Population Health Metrics, 17:1. BioMed Central Ltd.

Background Prevention aiming at smoking, alcohol consumption, and BMI could potentially bring large gains in life expectancy (LE) and health expectancy measures such as Healthy Life Years (HLY) and Life Expectancy in Good Perceived Health (LEGPH) in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e237fada5fd2febf88d5e438b955be1
https://hdl.handle.net/1765/114770

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