Search Results - "Kolk, M. Z. H."

Electrocardiogram-based mortality prediction in patients with COVID-19 using machine learning by van de Leur, R. R., Bleijendaal, H., Taha, K., Mast, T., Gho, J. M. I. H., Linschoten, M., van Rees, B., Henkens, M. T. H. M., Heymans, S., Sturkenboom, N., Tio, R. A., Offerhaus, J. A., Bor, W. L., Maarse, M., Haerkens-Arends, H. E., Kolk, M. Z. H., van der Lingen, A. C. J., Selder, J. J., Wierda, E. E., van Bergen, P. F. M. M., Winter, M. M., Zwinderman, A. H., Doevendans, P. A., van der Harst, P., Pinto, Y. M., Asselbergs, F. W., van Es, R., Tjong, F. V. Y.

“…Background and purpose The electrocardiogram (ECG) is frequently obtained in the work-up of COVID-19 patients. So far, no study has evaluated whether ECG-based…”
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Clinical phenotyping of implantable cardioverter defibrillator patients to identify the association of remote device monitoring on survival benefit: a cluster analysis by Kolk, M Z H, Deb, B, Ruiperez-Campillo, S, Narayan, S M, Knops, R E, Tjong, F V Y

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Deep embedded clustering of physical behaviour in patients with an implanted cardioverter-defibrillator identifies high and low risk profiles by Kolk, M Z H, Frodi, D M, Langford, J, Andersen, T O, Jacobsen, P K, Risum, N, Tan, H L, Svendsen, J H, Knops, R E, Diederichsen, S Z, Tjong, F V Y

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Clinical presentation, disease course, and outcome of COVID-19 in hospitalized patients with and without pre-existing cardiac disease: a cohort study across 18 countries by Linschoten, M, Uijl, A, Schut, A, Jakob, C E M, Romão, L R, Bell, R M, McFarlane, E, Stecher, M, Zondag, A G M, van Iperen, E P A, Hermans-van Ast, W, Lea, N C, Schaap, J, Jewbali, L S, Smits, P C, Patel, R S, Aujayeb, A, van der Harst, P, Siebelink, H J, van Smeden, M, Williams, S, Pilgram, L, van Gilst, W H, Tieleman, R G, Williams, B, Asselbergs, F W, Al-Ali, A K, Al-Muhanna, F A, Al-Rubaish, A M, Al-Windy, N Y Y, Alkhalil, M, Almubarak, Y A, Alnafie, A N, Alshahrani, M, Alshehri, A M, Anning, C, Anthonio, R L, Badings, E A, Ball, C, van Beek, E A, ten Berg, J M, von Bergwelt-Baildon, M, Bianco, M, Blagova, O V, Bleijendaal, H, Bor, W L, Borgmann, S, van Boxem, A J M, van den Brink, F S, Bucciarelli-Ducci, C, van Bussel, B C T, Byrom-Goulthorp, R, Captur, G, Caputo, M, Charlotte, N, vom Dahl, J, Dark, P, De Sutter, J, Degenhardt, C, Delsing, C E, Dolff, S, Dorman, H G R, Drost, J T, Eberwein, L, Emans, M E, Er, A G, Ferreira, J B, Forner, M J, Friedrichs, A, Gabriel, L, Groenemeijer, B E, Groenendijk, A L, Grüner, B, Guggemos, W, Haerkens-Arends, H E, Hanses, F, Hedayat, B, Heigener, D, van der Heijden, D J, Hellou, E, Hellwig, K, Henkens, M T H M, Hermanides, R S, Hermans, W R M, van Hessen, M W J, Heymans, S R B, Hilt, A D, van der Horst, I C C, Hower, M, van Ierssel, S H, Isberner, N, Jensen, B, Kearney, M T, van Kesteren, H A M, Kielstein, J T, Kietselaer, B L J H, Kochanek, M, Kolk, M Z H, Koning, A M H, Kopylov, P Y

“…Abstract Aims Patients with cardiac disease are considered high risk for poor outcomes following hospitalization with COVID-19. The primary aim of this study…”
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Validity of device-measured activity in patients with an implantable cardioverter-defibrillator by Kolk, M Z H, Frodi, D M, Langford, J, Price, E, Andersen, T O, Niels Risum, N, Jacobsen, P K, Tan, H L, Svendsen, J H, Knops, R E, Diederichsen, S Z, Tjong, F V Y

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Improved patient selection for primary prevention ICD implantation by predicting ICD non-benefit using artificial intelligence by Kolk, M Z H, Ruiperez-Campillo, S, Deb, B, Bekkers, E J, De Vos, B D, Van Der Lingen, A C J, Allaart, C P, Isgum, I, Rogers, A J, Clopton, P, Wilde, A A M, Knops, R E, Narayan, S M, Tjong, F V Y

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