Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Maureen L. van der Grinten"'
Autor:
José Castela Forte, Galiya Yeshmagambetova, Maureen L. van der Grinten, Bart Hiemstra, Thomas Kaufmann, Ruben J. Eck, Frederik Keus, Anne H. Epema, Marco A. Wiering, Iwan C. C. van der Horst
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract Critically ill patients constitute a highly heterogeneous population, with seemingly distinct patients having similar outcomes, and patients with the same admission diagnosis having opposite clinical trajectories. We aimed to develop a machi
Externí odkaz:
https://doaj.org/article/7e1247669dad4ed396c906d967f51c73
Autor:
José Castela Forte, Hubert E. Mungroop, Fred de Geus, Maureen L. van der Grinten, Hjalmar R. Bouma, Ville Pettilä, Thomas W. L. Scheeren, Maarten W. N. Nijsten, Massimo A. Mariani, Iwan C. C. van der Horst, Robert H. Henning, Marco A. Wiering, Anne H. Epema
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract Despite having a similar post-operative complication profile, cardiac valve operations are associated with a higher mortality rate compared to coronary artery bypass grafting (CABG) operations. For long-term mortality, few predictors are kno
Externí odkaz:
https://doaj.org/article/9336156248a1408d8a4dc57b72808a9b
Autor:
José Castela Forte, Galiya Yeshmagambetova, Maureen L. van der Grinten, Thomas W. L. Scheeren, Maarten W. N. Nijsten, Massimo A. Mariani, Robert H. Henning, Anne H. Epema
Publikováno v:
Jama network open, 5(10):e2237970. AMER MEDICAL ASSOC
ImportanceA variety of perioperative risk factors are associated with postoperative mortality risk. However, the relative contribution of routinely collected intraoperative clinical parameters to short-term and long-term mortality remains understudie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::634741b9330eb63ffdd1936dc93fff3a
https://pubmed.ncbi.nlm.nih.gov/36287565
https://pubmed.ncbi.nlm.nih.gov/36287565
Autor:
Ruben J. Eck, Bart Hiemstra, Anne H. Epema, Iwan C. C. van der Horst, Marco A. Wiering, Maureen L. van der Grinten, Thomas Kaufmann, Galiya Yeshmagambetova, Frederik Keus, José Castela Forte
Publikováno v:
Scientific Reports, 11(1):12109. Nature Publishing Group
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Critically ill patients constitute a highly heterogeneous population, with seemingly distinct patients having similar outcomes, and patients with the same admission diagnosis having opposite clinical trajectories. We aimed to develop a machine learni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8496acddabf9b3184524499cafcab42b
https://cris.maastrichtuniversity.nl/en/publications/38be8764-18a2-4808-835f-d660860cf5db
https://cris.maastrichtuniversity.nl/en/publications/38be8764-18a2-4808-835f-d660860cf5db
