Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Bruin, D.P. de"'
Autor:
Herter, W.E., Khuc, J., Cina, G., Knottnerus, B.J., Numans, M.E., Wiewel, M.A., Bonten, T.N., Bruin, D.P. de, Esch, T. van, Chavannes, N.H., Verheij, R.A.
Background: There is increasing attention on machine learning (ML)-based clinical decision support systems (CDSS), but their added value and pitfalls are very rarely evaluated in clinical practice. We implemented a CDSS to aid general practitioners (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2502221f63989f2de430ec1526c86baf
https://hdl.handle.net/1887/3421348
https://hdl.handle.net/1887/3421348
Autor:
Vagliano, I., Schut, M.C., Abu-Hanna, A., Dongelmans, D.A., Lange, D.W. de, Gommers, D., Cremer, O.L., Bosman, R.J., Rigter, S., Wils, E.J., Frenzel, T., Jong, R. de, Peters, M.A.A., Kamps, M.J.A., Ramnarain, D., Nowitzky, R., Nooteboom, F.G.C.A., Ruijter, W. de, Urlings-Strop, L.C., Smit, E.G.M., Mehagnoul-Schipper, D.J., Dormans, T., Jager, C.P.C. de, Hendriks, S.H.A., Achterberg, S., Oostdijk, E., Reidinga, A.C., Festen-Spanjer, B., Brunnekreef, G.B., Cornet, A.D., Tempel, W. van den, Boelens, A.D., Koetsier, P., Lens, J., Faber, H.J., Karakus, A., Entjes, R., Jong, P. de, Rettig, T.C.D., Reuland, M.C., Arbous, S., Fleuren, L.M., Dam, T.A., Thoral, P.J., Lalisang, R.C.A., Tonutti, M., Bruin, D.P. de, Elbers, P.W.G., Keizer, N.F. de, Dutch COVID-19 Res Consortium, Dutch ICU Data Sharing Against COV
Publikováno v:
International Journal of Medical Informatics, 167
International Journal of Medical Informatics, 167:104863. Elsevier Ireland Ltd
International Journal of Medical Informatics, 167. ELSEVIER IRELAND LTD
Vagliano, I, Schut, M C, Abu-Hanna, A, Dongelmans, D A, de Lange, D W, Gommers, D, Cremer, O L, Bosman, R J, Rigter, S, Wils, E-J, Frenzel, T, de Jong, R, Peters, M A A, Kamps, M J A, Ramnarain, D, Nowitzky, R, Nooteboom, F G C A, de Ruijter, W, Urlings-Strop, L C, Smit, E G M, Mehagnoul-Schipper, D J, Dormans, T, de Jager, C P C, Hendriks, S H A, Achterberg, S, Oostdijk, E, Reidinga, A C, Festen-Spanjer, B, Brunnekreef, G B, Cornet, A D, van den Tempel, W, Boelens, A D, Koetsier, P, Lens, J, Faber, H J, Karakus, A, Entjes, R, de Jong, P, Rettig, T C D, Reuland, M C, Arbous, S, Fleuren, L M, Dam, T A, Thoral, P J, Lalisang, R C A, Tonutti, M, de Bruin, D P, Elbers, P W G & de Keizer, N F 2022, ' Assess and validate predictive performance of models for in-hospital mortality in COVID-19 patients : A retrospective cohort study in the Netherlands comparing the value of registry data with high-granular electronic health records ', International Journal of Medical Informatics, vol. 167, 104863 . https://doi.org/10.1016/j.ijmedinf.2022.104863
International journal of medical informatics, 167:104863. Elsevier Ireland Ltd
International Journal of Medical Informatics, 167:104863. Elsevier Ireland Ltd
International Journal of Medical Informatics, 167. ELSEVIER IRELAND LTD
Vagliano, I, Schut, M C, Abu-Hanna, A, Dongelmans, D A, de Lange, D W, Gommers, D, Cremer, O L, Bosman, R J, Rigter, S, Wils, E-J, Frenzel, T, de Jong, R, Peters, M A A, Kamps, M J A, Ramnarain, D, Nowitzky, R, Nooteboom, F G C A, de Ruijter, W, Urlings-Strop, L C, Smit, E G M, Mehagnoul-Schipper, D J, Dormans, T, de Jager, C P C, Hendriks, S H A, Achterberg, S, Oostdijk, E, Reidinga, A C, Festen-Spanjer, B, Brunnekreef, G B, Cornet, A D, van den Tempel, W, Boelens, A D, Koetsier, P, Lens, J, Faber, H J, Karakus, A, Entjes, R, de Jong, P, Rettig, T C D, Reuland, M C, Arbous, S, Fleuren, L M, Dam, T A, Thoral, P J, Lalisang, R C A, Tonutti, M, de Bruin, D P, Elbers, P W G & de Keizer, N F 2022, ' Assess and validate predictive performance of models for in-hospital mortality in COVID-19 patients : A retrospective cohort study in the Netherlands comparing the value of registry data with high-granular electronic health records ', International Journal of Medical Informatics, vol. 167, 104863 . https://doi.org/10.1016/j.ijmedinf.2022.104863
International journal of medical informatics, 167:104863. Elsevier Ireland Ltd
Purpose: To assess, validate and compare the predictive performance of models for in-hospital mortality of COVID-19 patients admitted to the intensive care unit (ICU) over two different waves of infections. Our models were built with high-granular El