Zobrazeno 1 - 8 of 8 pro vyhledávání: '"Kuijk, S.M.J. van"'
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Development and internal validation of a multivariable prediction model for adrenocortical-carcinoma-specific mortality
Autor: Ettaieb, M.H.T., Kuijk, S.M.J. van, Wit-Pastoors, A. de, Feelders, R.A., Corssmit, E.P.M., Eekhoff, E.M.W., Valk, P. van der, Timmers, H.J.L.M., Kerstens, M.N., Klumpen, H.J., Leeuwaarde, R.S. van, Havekes, B., Haak, H.R., Dutch Adrenal Network
Publikováno v: Cancers, 12, 9
Cancers, 12(9):2720. Multidisciplinary Digital Publishing Institute (MDPI)
Cancers, 12(9). MDPI
Cancers, 12(9):2720, 1-16. Multidisciplinary Digital Publishing Institute (MDPI)
Cancers, 12(9):2720, 1-16. MDPI AG
Cancers
Cancers, 12
Volume 12
Issue 9
Cancers, Vol 12, Iss 2720, p 2720 (2020)
Cancers, 12(9):2270. Multidisciplinary Digital Publishing Institute (MDPI)
Dutch Adrenal Network 2020, ' Development and internal validation of a multivariable prediction model for adrenocortical-carcinoma-specific mortality ', Cancers, vol. 12, no. 9, 2720, pp. 1-16 . https://doi.org/10.3390/cancers12092720
Simple Summary Adrenocortical carcinoma is a rare and aggressive cancer. Great variability in clinical course is observed, ranging from patients with extreme long survival to aggressive tumors with prompt fatal outcome. This heterogeneity in survival
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::868fdf7b21986e4987ea6f3c1b1b07e8
https://hdl.handle.net/1887/3185227
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3
Long-term Sickness Absence in a Working Population: Development and Validation of a Risk Prediction Model in a Large Dutch Prospective Cohort
Autor: Burg, L.R.A. van der, Kuijk, S.M.J. van, Wee, M.M. ter, Heymans, M.W., Rijk, A.E. de, Geuskens, G.A., Ottenheijm, R.P.G., Dinant, G.J., Boonen, A.
Publikováno v: BMC Public Health, 1, 20, 699
Background: Societal expenditures on work-disability benefits is high in most Western countries. As a precursor of long-term work restrictions, long-term sickness absence (LTSA) is under continuous attention of policy makers. Different healthcare pro
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::fd986eb787d9b953241489f3c102b005
http://resolver.tudelft.nl/uuid:cf8dface-e68b-467e-bbe9-a4ba22b11801
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4
Data at Scale
Autor: Traverso, A., Dankers, F.J.W.M., Wee, L., Kuijk, S.M.J. Van
Publikováno v: Kubben, P.; Dumontier, M.; Dekker, A. (ed.), Fundamentals of Clinical Data Science, pp. 11-17
Item does not contain fulltext Pre-requisites to better understand the chapter: basic knowledge of major sources of clinical data. Logical position of the chapter with respect to the previous chapter: in the previous chapter, you have learned what th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1236::b134168bbbf87558684e12db9d2d0d07
https://repository.ubn.ru.nl/handle/2066/287240
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5
Prediction Modeling Methodology
Autor: Dankers, F.J.W.M., Traverso, A., Wee, L., Kuijk, S.M.J. Van
Publikováno v: Kubben, P.; Dumontier, M.; Dekker, A. (ed.), Fundamentals of Clinical Data Science, pp. 101-120
Item does not contain fulltext In the previous chapter, you have learned how to prepare your data before you start the process of generating a predictive model. In this chapter, you will learn how to make a predictive model using very common regressi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1236::26802e9c61773e1c006e9817ed237f20
https://repository.ubn.ru.nl/handle/2066/287242
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6
Preparing Data for Predictive Modelling
Autor: Kuijk, S.M.J. Van, Dankers, F.J.W.M., Traverso, A., Wee, L.
Publikováno v: Kubben, P.; Dumontier, M.; Dekker, A. (ed.), Fundamentals of Clinical Data Science [Internet]., pp. 75-84
Item does not contain fulltext This is the first chapter of five that cover an introduction to developing and validating models for predicting outcomes for the individual patient. Such prediction models can be used for predicting the occurrence or re
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1236::23be95d797ba897d2801686823d0d51d
https://repository.ubn.ru.nl/handle/2066/287243
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7
Reporting Standards and Critical Appraisal of Prediction Models
Autor: Wee, L., Kuijk, S.M.J. Van, Dankers, F.J.W.M., Traverso, A., Welch, M., Dekker, A.
Publikováno v: Kubben, P.; Dumontier, M.; Dekker, A. (ed.), Fundamentals of Clinical Data Science, pp. 135-150
Item does not contain fulltext Prediction models have the potential to positively influence clinical decision-making and thus the overall quality of healthcare. The translational gap needs to be bridged between development of complex statistical mode
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1236::4794f254616ff1e0b0a0e35b88484752
https://repository.ubn.ru.nl/handle/2066/287244
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8
Medical Students' Perspective on Current and Future Training in Anatomy
Autor: Triepels, C.P.R., Koppes, D.M., Kuijk, S.M.J. Van, Popeijus, H.E., Lamers, W.H., Gorp, T. Van, Futterer, J.J., Kruitwagen, R.F.P.M., Notten, K.J.B.
Publikováno v: Annals of Anatomy, 217, 60-65
Annals of Anatomy, 217, pp. 60-65
Item does not contain fulltext Gaining sufficient knowledge of anatomy is an important part of medical education. Factors that influence how well students learn anatomical structures include available sources, learning time and study assistance. This
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a8d8f13118b02303ed3c3cd23839eb17
http://hdl.handle.net/2066/191328
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