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Akademický článek

Development and evaluation of regression tree models for predicting in-hospital mortality of a national registry of COVID-19 patients over six pandemic surges

Autor: M. C. Schut, D. A. Dongelmans, D. W. de Lange, S. Brinkman, Dutch COVID-19 Research Consortium, N. F. de Keizer, A. Abu-Hanna

Publikováno v: BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-11 (2024)

Abstract Background Objective prognostic information is essential for good clinical decision making. In case of unknown diseases, scarcity of evidence and limited tacit knowledge prevent obtaining this information. Prediction models can be useful, bu

Externí odkaz: https://doaj.org/article/e655b0eacda34505a2f2cfd9bf4a0a73

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Akademický článek

Identifying prognostic factors for clinical outcomes and costs in four high-volume surgical treatments using routinely collected hospital data

Autor: N. Salet, V. A. Stangenberger, F. Eijkenaar, F. T. Schut, M. C. Schut, R. H. Bremmer, A. Abu-Hanna

Publikováno v: Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)

Abstract Identifying prognostic factors (PFs) is often costly and labor-intensive. Routinely collected hospital data provide opportunities to identify clinically relevant PFs and construct accurate prognostic models without additional data-collection

Externí odkaz: https://doaj.org/article/8820bafee1b749199c320fbbebd9734d

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Interaction between geriatric syndromes in predicting three months mortality risk

Autor: F M M, Oud, M C, Schut, P E, Spies, H J, van der Zaag-Loonen, S E, de Rooij, A, Abu-Hanna, B C, van Munster

Publikováno v: Archives of Gerontology and Geriatrics, 103:104774. ELSEVIER IRELAND LTD
Archives of gerontology and geriatrics, 103:104774. Elsevier Ireland Ltd

Objectives: Capturing frailty using a quick tool has proven to be challenging. We hypothesise that this is due to the complex interactions between frailty domains. We aimed to identify these interactions and assess whether adding interactions between

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01ad10df2868801e37ac6b11a759334f
https://doi.org/10.1016/j.archger.2022.104774

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Individual-based simulation of sexual selection: A quantitative genetic approach

Autor: Joc Cing Tay, D. van Dijk, Peter M. A. Sloot, M. C. Schut

Publikováno v: Dijk, D V, Sloot, P M A, Tay, J C & Schut, M C 2010, ' Individual-based simulation of sexual selection: A quantitative genetic approach ', Procedia Computer Science, vol. 1, pp. 1997-2005 . https://doi.org/10.1016/j.procs.2010.04.224
ICCS
Procedia Computer Science
Procedia Computer Science, 1(1), 2003-2011. Elsevier
Procedia Computer Science, 1, 1997-2005. Elsevier BV

Sexual selection has been mathematically modeled using quantitative genetics as well as population genetics. Two-locus simulation models have been used to study the evolution of male display and female preference. We present an individual-based simul

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ee1d9430882d62a3f3e5bc2fdbb96ba
https://hdl.handle.net/1871.1/5464ce95-afb2-4b0e-ad90-9b54fc0108ff

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