External validation study of endometrial cancer preoperative risk stratification model (ENDORISK)

Autor: Petra Vinklerová, Petra Ovesná, Jitka Hausnerová, Johanna M. A. Pijnenborg, Peter J. F. Lucas, Casper Reijnen, Stephanie Vrede, Vít Weinberger

Publikováno v: Frontiers in Oncology, Vol 12 (2022)

IntroductionAmong industrialized countries, endometrial cancer is a common malignancy with generally an excellent outcome. To personalize medicine, we ideally compile as much information as possible concerning patient prognosis prior to effecting an

Externí odkaz: https://doaj.org/article/6f2e7615f68f4c819aee78bed95cbfab

Preoperative risk stratification in endometrial cancer (ENDORISK) by a Bayesian network model: A development and validation study.

Autor: Casper Reijnen, Evangelia Gogou, Nicole C M Visser, Hilde Engerud, Jordache Ramjith, Louis J M van der Putten, Koen van de Vijver, Maria Santacana, Peter Bronsert, Johan Bulten, Marc Hirschfeld, Eva Colas, Antonio Gil-Moreno, Armando Reques, Gemma Mancebo, Camilla Krakstad, Jone Trovik, Ingfrid S Haldorsen, Jutta Huvila, Martin Koskas, Vit Weinberger, Marketa Bednarikova, Jitka Hausnerova, Anneke A M van der Wurff, Xavier Matias-Guiu, Frederic Amant, ENITEC Consortium, Leon F A G Massuger, Marc P L M Snijders, Heidi V N Küsters-Vandevelde, Peter J F Lucas, Johanna M A Pijnenborg

Publikováno v: PLoS Medicine, Vol 17, Iss 5, p e1003111 (2020)

BACKGROUND:Bayesian networks (BNs) are machine-learning-based computational models that visualize causal relationships and provide insight into the processes underlying disease progression, closely resembling clinical decision-making. Preoperative id

Externí odkaz: https://doaj.org/article/2c91f1408d514e2686d60f6f1e077189

Automated color detection in orchids using color labels and deep learning

Autor: Peter J. F. Lucas, Luuk Spreeuwers, Diah Harnoni Apriyanti, Raymond N.J. Veldhuis

Publikováno v: PLoS ONE, Vol 16, Iss 10, p e0259036 (2021)
PLoS ONE
PLoS ONE, 16(10 October):e0259036. Public Library of Science
PLoS ONE, Vol 16, Iss 10 (2021)

The color of particular parts of a flower is often employed as one of the features to differentiate between flower types. Thus, color is also used in flower-image classification. Color labels, such as ‘green’, ‘red’, and ‘yellow’, are use

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2f4da9b02aa606a06f9f5beb91eb91f
https://doi.org/10.1371/journal.pone.0259036

A comparison between discrete and continuous time Bayesian networks in learning from clinical time series data with irregularity

Autor: Arjen Hommersom, Erik Bischoff, Fabio Stella, Peter J. F. Lucas, Lonneke M. Boer, Manxia Liu

Publikováno v: Liu, M, Stella, F, Hommersom, A, Lucas, P J F, Boer, L & Bischoff, E 2019, ' A comparison between discrete and continuous time Bayesian networks in learning from clinical time series data with irregularity ', Artificial Intelligence in Medicine, vol. 95, pp. 104-117 . https://doi.org/10.1016/j.artmed.2018.10.002
Artificial intelligence in medicine, 95, 104-117. Elsevier
Artificial Intelligence in Medicine, 95, 104-117. Elsevier
Artificial Intelligence in Medicine, 95, 104-117
Artificial Intelligence in Medicine, 95, pp. 104-117

Background:Recently, mobile devices, such as smartphones, have been introduced into healthcare research to substitute paper diaries as data-collection tools in the home environment. Such devices support collecting patient data at different time point

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab3550eee9ea61a78aa23896a069a537
https://doi.org/10.1016/j.artmed.2018.10.002

A privacy-preserving Bayesian network model for personalised COVID19 risk assessment and contact tracing

Autor: Scott McLachlan, Norman Fenton, Kudakwashe Dube, Martin Neil, Graham A. Hitman, Evangelia Kyrimi, Peter J. F. Lucas, Magda Osman

Concerns about the practicality and effectiveness of using Contact Tracing Apps (CTA) to reduce the spread of COVID19 have been well documented and, in the UK, led to the abandonment of the NHS CTA shortly after its release in May 2020. One of the ke

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4feff7a33ea1cc5e7587adbd8487f039
https://doi.org/10.1101/2020.07.15.20154286