Zobrazeno 1 - 10
of 1 082
pro vyhledávání: '"A. Borgan"'
Publikováno v:
The Journal of Clinical Hypertension, Vol 26, Iss 5, Pp 584-587 (2024)
Abstract In patients with primary hyperaldosteronism (PA), adrenal vein sampling (AVS) can identify patients suitable for unilateral adrenalectomy. However, in AVS with an indeterminate aldosterone‐to‐cortisol lateralization (ACL) ratio of 3.0–
Externí odkaz:
https://doaj.org/article/a9dc05c43ee34fe98396ee49815a48a0
Autor:
Uzma Zahid, Robert A. McCutcheon, Faith Borgan, Sameer Jauhar, Fiona Pepper, Matthew M. Nour, Maria Rogdaki, Martin Osugo, Graham K. Murray, Pamela Hathway, Robin M. Murray, Alice Egerton, Oliver D. Howes
Publikováno v:
Frontiers in Psychiatry, Vol 15 (2024)
Externí odkaz:
https://doaj.org/article/a972f72c0e8346ab950623456976cfbe
Autor:
Sameer Jauhar, Robert A. McCutcheon, Mattia Veronese, Faith Borgan, Matthew Nour, Maria Rogdaki, Fiona Pepper, James M. Stone, Alice Egerton, George Vamvakas, Federico Turkheimer, Philip K. McGuire, Oliver D. Howes
Publikováno v:
Translational Psychiatry, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract The neuromodulator dopamine and excitatory neurotransmitter glutamate have both been implicated in the pathogenesis of psychosis, and dopamine antagonists remain the predominant treatment for psychotic disorders. To date no study has measure
Externí odkaz:
https://doaj.org/article/8dd3d6e9caa94fe18290de30b46752d7
Autor:
Kvamme, Håvard, Borgan, Ørnulf
The Brier score is commonly used for evaluating probability predictions. In survival analysis, with right-censored observations of the event times, this score can be weighted by the inverse probability of censoring (IPCW) to retain its original inter
Externí odkaz:
http://arxiv.org/abs/1912.08581
Autor:
Kvamme, Håvard, Borgan, Ørnulf
Application of discrete-time survival methods for continuous-time survival prediction is considered. For this purpose, a scheme for discretization of continuous-time data is proposed by considering the quantiles of the estimated event-time distributi
Externí odkaz:
http://arxiv.org/abs/1910.06724
Publikováno v:
Journal of Machine Learning Research, 20(129):1-30, 2019
New methods for time-to-event prediction are proposed by extending the Cox proportional hazards model with neural networks. Building on methodology from nested case-control studies, we propose a loss function that scales well to large data sets, and
Externí odkaz:
http://arxiv.org/abs/1907.00825
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.