Zobrazeno 1 - 10 of 56 pro vyhledávání: '"A H Epema"'
1
Akademický článek
Mild hypothermia during cardiopulmonary bypass assisted CABG is associated with improved short- and long-term survival, a 18-year cohort study.
Autor: K D W Hendriks, J N Castela Forte, W F Kok, H E Mungroop, H R Bouma, T W L Scheeren, M Mariani, R H Henning, A H Epema
Publikováno v: PLoS ONE, Vol 17, Iss 8, p e0273370 (2022)
Data substantiating the optimal patient body temperature during cooling procedures in cardiac operations are currently unavailable. To explore the optimal temperature strategy, we examined the association between temperature management and survival a
Externí odkaz: https://doaj.org/article/cb2a37aab3fd4c5687d421a603358a69
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2
Akademický článek
Identifying and characterizing high-risk clusters in a heterogeneous ICU population with deep embedded clustering
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
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3
Akademický článek
Ensemble machine learning prediction and variable importance analysis of 5-year mortality after cardiac valve and CABG operations
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
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4
Akademický článek
Deep Learning for Identification of Acute Illness and Facial Cues of Illness
Autor: Castela Forte, Andrei Voinea, Malina Chichirau, Galiya Yeshmagambetova, Lea M. Albrecht, Chiara Erfurt, Liliane A. Freundt, Luisa Oliveira e Carmo, Robert H. Henning, Iwan C. C. van der Horst, Tina Sundelin, Marco A. Wiering, John Axelsson, Anne H. Epema
Publikováno v: Frontiers in Medicine, Vol 8 (2021)
Background: The inclusion of facial and bodily cues (clinical gestalt) in machine learning (ML) models improves the assessment of patients' health status, as shown in genetic syndromes and acute coronary syndrome. It is unknown if the inclusion of cl
Externí odkaz: https://doaj.org/article/01a011865ac34edfbeb5bdb1abd8695e
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5
Comparison of Machine Learning Models Including Preoperative, Intraoperative, and Postoperative Data and Mortality After Cardiac Surgery
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
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6
Identifying and characterizing high-risk clusters in a heterogeneous ICU population with deep embedded clustering
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)
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
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8
A Bayesian Network Analysis of the Diagnostic Process and Its Accuracy to Determine How Clinicians Estimate Cardiac Function in Critically Ill Patients
Autor: Marco A. Wiering, Anne H. Epema, Iwan C. C. van der Horst, Bart Hiemstra, Marco Grzegorczyk, José Castela Forte, Thomas Kaufmann
Publikováno v: JMIR medical informatics, 7(4):e15358, 214-224
JMIR Medical Informatics, 7(4). JMIR Publications
JMIR Medical Informatics, Vol 7, Iss 4, p e15358 (2019)
JMIR Medical Informatics
JMIR Medical Informatics, 7(4):15358, 214-224. JMIR Publications Inc.
BackgroundHemodynamic assessment of critically ill patients is a challenging endeavor, and advanced monitoring techniques are often required to guide treatment choices. Given the technical complexity and occasional unavailability of these techniques,
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8975052ca82904dc77ef3f47d137aa6
https://doi.org/10.2196/15358
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9
Akademický článek
S1P1 receptor modulation preserves vascular function in mesenteric and coronary arteries after CPB in the rat independent of depletion of lymphocytes.
Autor: Iryna V Samarska, Hjalmar R Bouma, Hendrik Buikema, Hubert E Mungroop, Martin C Houwertjes, Anthony R Absalom, Anne H Epema, Robert H Henning
Publikováno v: PLoS ONE, Vol 9, Iss 5, p e97196 (2014)
BACKGROUND: Cardiopulmonary bypass (CPB) may induce systemic inflammation and vascular dysfunction. Sphingosine 1-phosphate (S1P) modulates various vascular and immune responses. Here we explored whether agonists of the S1P receptors, FTY720 and SEW2
Externí odkaz: https://doaj.org/article/35979395566942d7815e05361f18917f
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10
Unraveling Patient Heterogeneity in ICU With Deep Embedded Clustering Using Co-morbidity, Clinical Examination, and Laboratory Data
Autor: Frederik Keus, Horst Ivd, Ruben J. Eck, Grinten Mvd, Thomas Kaufmann, Bart Hiemstra, Anne H. Epema, José Castela Forte, Galiya Yeshmagambetova, Marco A. Wiering
Introduction Despite extensive research, the goal of unravelling patient heterogeneity in critical care remains largely unattained. Combining clustering analysis of routinely collected high-frequency data with the identification of features driving c
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c47f17a0a0a6aeee8a4c2bb8a9932eee
https://doi.org/10.21203/rs.3.rs-129367/v1
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