Predicting whether patients in an acute medical unit are physiologically fit-for-discharge using machine learning: A proof-of-concept

Autor: Garssen, S.H., Vernooij, C.A., Kant, N., Koning, M.V., Bosch, F.H., Doggen, C.J.M., Veldkamp, B.P., Verhaegh, W.F.J., Oude Wesselink, S.F.

Publikováno v: In International Journal of Medical Informatics November 2024 191

A systematic review of prerequisites for implementing assessment for learning in classroom practice

Autor: Heitink, M.C., Van der Kleij, F.M., Veldkamp, B.P., Schildkamp, K., Kippers, W.B.

Publikováno v: In Educational Research Review February 2016 17:50-62

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Network psychometrics in educational practice: Maximum likelihood estimation of the Curie-Weiss model

Autor: Marsman, M., Tanis, C.C., Bechger, T.M., Waldorp, L.J., Veldkamp, B.P., Sluijter, C.

Publikováno v: Theoretical and Practical Advances in Computer-Based Educational Measurement, 93-120
STARTPAGE=93;ENDPAGE=120;TITLE=Theoretical and Practical Advances in Computer-Based Educational Measurement
Theoretical and Practical Advances in Computer-based Educational Measurement ISBN: 9783030184797

In network psychometrics undirected graphical models—such as the Ising model from statistical physics—are used to characterize the manifest probability distribution of psychometric data. In practice, we often find that it is extremely difficult t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f697b9588f61f5a2f37b6913a7ba7eb6
https://dare.uva.nl/personal/pure/en/publications/network-psychometrics-in-educational-practice(e73f2fe3-6bb6-4019-a535-c87c4ea0727e).html