Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Thomas Ploug"'
Autor:
Søren Holm, Thomas Ploug
Publikováno v:
PLoS ONE, Vol 18, Iss 12 (2023)
Externí odkaz:
https://doaj.org/article/d02af0dcbb0b499a8afb2275b804a0ba
Autor:
Thomas Ploug
Publikováno v:
BMC Medical Ethics, Vol 21, Iss 1, Pp 1-13 (2020)
Abstract Background Health data holds great potential for improved treatments. Big data research and machine learning models have been shown to hold great promise for improved diagnostics and treatment planning. The potential is tied, however, to the
Externí odkaz:
https://doaj.org/article/fd9c3b48f6304ba8b9b102a21dd8511c
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 12, p e26611 (2021)
BackgroundCertain types of artificial intelligence (AI), that is, deep learning models, can outperform health care professionals in particular domains. Such models hold considerable promise for improved diagnostics, treatment, and prevention, as well
Externí odkaz:
https://doaj.org/article/a566b370a4aa407eb06fd4db574c5923
Autor:
Thomas Ploug, Søren Holm
Publikováno v:
BMC Medical Ethics, Vol 18, Iss 1, Pp 1-10 (2017)
Abstract Background Research into personal health data holds great potential not only for improved treatment but also for economic growth. In these years many countries are developing policies aimed at facilitating such research often under the banne
Externí odkaz:
https://doaj.org/article/5b83d09dfc8f4252a409880dacc35498
Autor:
Thomas Ploug, Søren Holm
Publikováno v:
BMC Medical Ethics, Vol 18, Iss 1, Pp 1-8 (2017)
Abstract Background The increased use of information technology in every day health care creates vast amounts of stored health data that can be used for research. The secondary research use of routinely collected data raises questions about appropria
Externí odkaz:
https://doaj.org/article/08ff5329e7194ea5bb7aae80c1e377b5
Publikováno v:
EAI Endorsed Transactions on e-Learning, Vol 4, Iss 13, Pp 1-8 (2017)
This paper is a study of various e-learning strategies for teaching basic ideas in logic. The focus is mainly on syllogistic validity and deduction. It is a continuation of earlier studies involving practical experiments with students of Communicatio
Externí odkaz:
https://doaj.org/article/eab381783257426eb237f26dc89e25bf
Autor:
Thomas Ploug, Søren Holm
Publikováno v:
PLoS ONE, Vol 12, Iss 7, p e0179935 (2017)
Whole genome or exome sequencing is increasingly used in the clinical contexts, and 'incidental' findings are generated. There is need for an adequate policy for the reporting of these findings to individuals. Such a policy has been suggested by the
Externí odkaz:
https://doaj.org/article/a96f2d71988d4da1b78a979cf8d5ab21
Autor:
Christian Patrick Jauernik, Or Joseph Rahbek, Thomas Ploug, Volkert Siersma, John Brandt Brodersen
Publikováno v:
Jauernik, C P, Rahbek, O J, Ploug, T, Siersma, V & Brodersen, J B 2023, ' The impact of influences in a medical screening programme invitation : a randomized controlled trial ', European Journal of Public Health, vol. 33, no. 3, pp. 509-514 . https://doi.org/10.1093/eurpub/ckad067
Jauernik, C P, Rahbek, O J, Ploug, T, Siersma, V & Brodersen, J B 2023, ' The impact of influences in a medical screening programme invitation : a randomized controlled trial ', European Journal of Public Health, vol. 33, no. 3 . https://doi.org/10.1093/eurpub/ckad067
Jauernik, C P, Rahbek, O J, Ploug, T, Siersma, V & Brodersen, J B 2023, ' The impact of influences in a medical screening programme invitation : a randomized controlled trial ', European Journal of Public Health, vol. 33, no. 3 . https://doi.org/10.1093/eurpub/ckad067
Background Invitations to screening programmes may include influences that are intending to increase the participation rates. This study had two objectives: (i) to assess if different categories of influences had a significant effect on the intention
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::853691ccd043cde7159268e7f1222fa5
https://vbn.aau.dk/ws/files/533723318/Open_Access_article.pdf
https://vbn.aau.dk/ws/files/533723318/Open_Access_article.pdf
Publikováno v:
Mental Health Review Journal, 2016, Vol. 21, Issue 2, pp. 141-160.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/MHRJ-07-2015-0019
Autor:
Thomas Ploug
Publikováno v:
Philosophy & Technology. 36
Social media data hold considerable potential for predicting health-related conditions. Recent studies suggest that machine-learning models may accurately predict depression and other mental health-related conditions based on Instagram photos and Twe