Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Kathrin Blagec"'
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-11 (2022)
Recent studies raised concerns over the state of AI benchmarking, reporting issues such as benchmark overfitting, benchmark saturation and increasing centralization of benchmark dataset creation. To facilitate monitoring of the health of the AI bench
Externí odkaz:
https://doaj.org/article/357a20a54edd4dfabde61f00141c7e58
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-10 (2022)
Measurement(s) Artificial Intelligence • Benchmark Technology Type(s) digital curation Sample Characteristic - Location Globally
Externí odkaz:
https://doaj.org/article/d31f1755cd224f0d907d82918e696571
Publikováno v:
Medical Education Online, Vol 27, Iss 1 (2022)
Digitalisation is changing all areas of our daily life. This changing environment requires new competences from physicians in all specialities. This study systematically surveyed the knowledge, attitude, and interests of medical students. These resul
Externí odkaz:
https://doaj.org/article/418809c07601498f8ddf6a5bab116238
Autor:
Kathrin Blagec, Jesse J. Swen, Rudolf Koopmann, Ka-Chun Cheung, Mandy Crommentuijn - van Rhenen, Inge Holsappel, Lidija Konta, Simon Ott, Daniela Steinberger, Hong Xu, Erika Cecchin, Vita Dolžan, Cristina Lucía Dávila-Fajardo, George P. Patrinos, Gere Sunder-Plassmann, Richard M. Turner, Munir Pirmohamed, Henk-Jan Guchelaar, Matthias Samwald, Ubiquitous Pharmacogenomics Consortium
Publikováno v:
PLoS ONE, Vol 17, Iss 6 (2022)
Background The clinical implementation of pharmacogenomics (PGx) could be one of the first milestones towards realizing personalized medicine in routine care. However, its widespread adoption requires the availability of suitable clinical decision su
Externí odkaz:
https://doaj.org/article/7d0742abdaf6407f87c61d7c0f113887
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-10 (2019)
Abstract Background Neural network based embedding models are receiving significant attention in the field of natural language processing due to their capability to effectively capture semantic information representing words, sentences or even larger
Externí odkaz:
https://doaj.org/article/0ef4aa0349dc48c0a82da38f8c66c1fd
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-9 (2018)
Abstract Background Biomedical literature is expanding rapidly, and tools that help locate information of interest are needed. To this end, a multitude of different approaches for classifying sentences in biomedical publications according to their co
Externí odkaz:
https://doaj.org/article/1f6b4939f484429c917eca9fa0cdf125
Publikováno v:
PeerJ, Vol 4, p e1671 (2016)
Background. Pharmacogenomic testing has the potential to improve the safety and efficacy of pharmacotherapy, but clinical application of pharmacogenetic knowledge has remained uncommon. Clinical Decision Support (CDS) systems could help overcome some
Externí odkaz:
https://doaj.org/article/bcf4103fe70046a7aada37905827db96
Autor:
Matthias Samwald, Hong Xu, Kathrin Blagec, Philip E Empey, Daniel C Malone, Seid Mussa Ahmed, Patrick Ryan, Sebastian Hofer, Richard D Boyce
Publikováno v:
PLoS ONE, Vol 11, Iss 10, p e0164972 (2016)
Pre-emptive pharmacogenomic (PGx) testing of a panel of genes may be easier to implement and more cost-effective than reactive pharmacogenomic testing if a sufficient number of medications are covered by a single test and future medication exposure c
Externí odkaz:
https://doaj.org/article/73d8d3e91a6241a8890445ecd5960c29
Autor:
Jose Antonio Miñarro-Giménez, Kathrin Blagec, Richard D Boyce, Klaus-Peter Adlassnig, Matthias Samwald
Publikováno v:
PLoS ONE, Vol 9, Iss 5, p e93769 (2014)
BACKGROUND:The development of genotyping and genetic sequencing techniques and their evolution towards low costs and quick turnaround have encouraged a wide range of applications. One of the most promising applications is pharmacogenomics, where gene
Externí odkaz:
https://doaj.org/article/cab799ce92d14728a38125e652126b88
BACKGROUND Digitalisation is changing all areas of our daily life. With COVID-19, digital health received an additional boost in the medical area. The usage of telemedicine applications increased by 70% in 2020. The prediction for artificial intellig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::838cd1e2a949c3d066687310d3e31ef6
https://doi.org/10.2196/preprints.37096
https://doi.org/10.2196/preprints.37096
