Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Scott Thiebes"'
Autor:
Matthieu-P Schapranow, Mozhgan Bayat, Aadil Rasheed, Marcel Naik, Verena Graf, Danilo Schmidt, Klemens Budde, Héloïse Cardinal, Ruth Sapir-Pichhadze, Franz Fenninger, Karen Sherwood, Paul Keown, Oliver P Günther, Konstantin D Pandl, Florian Leiser, Scott Thiebes, Ali Sunyaev, Matthias Niemann, Andreas Schimanski, Thomas Klein
Publikováno v:
JMIR Research Protocols, Vol 12, p e48892 (2023)
BackgroundRecent advances in hardware and software enabled the use of artificial intelligence (AI) algorithms for analysis of complex data in a wide range of daily-life use cases. We aim to explore the benefits of applying AI to a specific use case i
Externí odkaz:
https://doaj.org/article/1cde2990dfce49c5bf2afbc6f89c2c24
Publikováno v:
JMIR Infodemiology, Vol 2, Iss 2, p e38749 (2022)
BackgroundWith direct-to-consumer (DTC) genetic testing enabling self-responsible access to novel information on ancestry, traits, or health, consumers often turn to social media for assistance and discussion. YouTube, the largest social media platfo
Externí odkaz:
https://doaj.org/article/7ea7cdab9b5546af8742cfd5071c3850
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract To combat the COVID-19 pandemic, many countries around the globe have adopted digital contact tracing apps. Various technologies exist to trace contacts that are potentially prone to different types of tracing errors. Here, we study the impa
Externí odkaz:
https://doaj.org/article/5070ed89196145e0aa4da5d3386a6b45
Publikováno v:
IEEE Access, Vol 8, Pp 57075-57095 (2020)
Developments in artificial intelligence (AI) and distributed ledger technology (DLT) currently lead to lively debates in academia and practice. AI processes data to perform tasks that were previously thought possible only for humans. DLT has the pote
Externí odkaz:
https://doaj.org/article/5c673faa8a3a49eaac9ef63423cdac84
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 9, p e30390 (2021)
BackgroundIn health care, the use of game-based interventions to increase motivation, engagement, and overall sustainability of health behaviors is steadily becoming more common. The most prevalent types of game-based interventions in health care res
Externí odkaz:
https://doaj.org/article/4b148476df75456ebf5e36cdd3841c72
Autor:
Lech Nieroda, Lukas Maas, Scott Thiebes, Ulrich Lang, Ali Sunyaev, Viktor Achter, Martin Peifer
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-8 (2019)
Abstract Background The massive amounts of data from next generation sequencing (NGS) methods pose various challenges with respect to data security, storage and metadata management. While there is a broad range of data analysis pipelines, these chall
Externí odkaz:
https://doaj.org/article/bfcbdad7e1bd4ebeb800f8187261aac1
Publikováno v:
Journal of Management Information Systems. 40:239-270
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa9685fe83d5526b1184dc1f7e0dc5b9
https://doi.org/10.1080/07421222.2023.2172771
https://doi.org/10.1080/07421222.2023.2172771
Publikováno v:
HMD, 59 (6), 1527–1544
ZusammenfassungDas Training von Künstliche Intelligenz (KI)-Modellen, die auf maschinellem Lernen (ML) beruhen, erfordert eine große Menge qualitativ hochwertiger Daten. Besonders im Gesundheitswesen mit seinen hochsensiblen Daten und hohen Anforde
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34f15d8c658b76048e6aff945a1d904d
https://doi.org/10.1365/s40702-022-00922-4
https://doi.org/10.1365/s40702-022-00922-4
Publikováno v:
Electronic Markets, 32 (3), 1621–1638
Although consumers and experts often express concerns regarding the questionable business practices of direct-to-consumer (DTC) genetic testing services (e.g., reselling of consumers' genetic data), the DTC genetic testing market keeps expanding rapi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4705028b9a3ab9e2003055000280ce88
https://doi.org/10.1007/s12525-022-00571-x
https://doi.org/10.1007/s12525-022-00571-x
Publikováno v:
Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3dea1a81ae315b24e2a5c3d4499ce63
https://doi.org/10.1145/3544549.3585595
https://doi.org/10.1145/3544549.3585595