Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Lalisang, R.C.A."'
Autor:
Smit, J.M., Krijthe, J.H., Endeman, H., Tintu, A.N., de Rijke, Y.B., Gommers, D.A.M.P.J., Cremer, O.L., Bosman, R.J., Rigter, S., Wils, E.-J., Frenzel, T., Dongelmans, D.A., 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.A., Faber, H.J., karakus, A., Entjes, R., De Jong, P., Rettig, T.C.D., Arbous, M.S., Lalisang, R.C.A., Tonutti, M., De Bruin, D.P., Elbers, P.W.G., Van Bommel, J., Reinders, M.J.T.
Publikováno v:
In Intelligence-Based Medicine 2022 6
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b6a0687e3d7bae60f5dd4796a7ff407
https://doi.org/10.1016/j.ijmedinf.2022.104863
https://doi.org/10.1016/j.ijmedinf.2022.104863
Autor:
Lalisang, R.C.A., Adriaans, G., de Jong, M., van der Meulen-de Jong, A., Romberg-Camps, M., Mahmmod, N., Markus-de Kwaadsteniet, T., Dijkstra, G., Haans, J., Stamm, C., Vanwersch, R., Jonkers, D., Almeida, R.J., Pierik, M.J.
Publikováno v:
Journal of Crohn's & Colitis, 14(S1), S059-S060. Oxford University Press
Tight control of mucosal inflammation and prevention of disease flares are emerging treatment goals to prevent disease progression in inflammatory bowel disease (IBD). The state of the art clinical classification only marginally predict flare occurre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::7bdd5e7f2c5a53e864eb973ffccd8a5e
https://cris.maastrichtuniversity.nl/en/publications/101ddd12-b74e-4436-8ef0-f09810e8d346
https://cris.maastrichtuniversity.nl/en/publications/101ddd12-b74e-4436-8ef0-f09810e8d346
