Zobrazeno 1 - 10
of 484
pro vyhledávání: '"Manfred, Reichert"'
Autor:
Abdul Rahman Idrees, Felix Beierle, Agnes Mutter, Robin Kraft, Patricia Garatva, Harald Baumeister, Manfred Reichert, Rüdiger Pryss
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract The challenge of sustaining user engagement in eHealth interventions is a pressing issue with significant implications for the effectiveness of these digital health tools. This study investigates user engagement in a cognitive-behavioral the
Externí odkaz:
https://doaj.org/article/925629a10c834281a4a5cbda739f3594
Autor:
Rüdiger Pryss, Jan vom Brocke, Manfred Reichert, Enrico Rukzio, Winfried Schlee, Barbara Weber
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Externí odkaz:
https://doaj.org/article/308d838696e84ee8a1bba6476494bb94
Publikováno v:
Future Internet, Vol 16, Iss 10, p 353 (2024)
This paper presents a comprehensive literature review, focusing on the emerging intersection of chatbot technology and the generation of process models. As an evolving field of study, the integration of interactive chatbots into process model generat
Externí odkaz:
https://doaj.org/article/ccc71c7bfc1b422eaf18ec8941d2d760
Autor:
Abdul Rahman Idrees, Robin Kraft, Agnes Mutter, Harald Baumeister, Manfred Reichert, Rüdiger Pryss
Publikováno v:
PLOS Digital Health, Vol 3, Iss 5, p e0000498 (2024)
This review investigates persuasive design frameworks within eHealth, concentrating on methodologies, their prevalence in mental and behavioral health applications, and identifying current research gaps. An extensive search was conducted across 8 dat
Externí odkaz:
https://doaj.org/article/ea7797acddb845e3beb5d8d0ced75893
Autor:
Daniel Schaudt, Reinhold von Schwerin, Alexander Hafner, Pascal Riedel, Manfred Reichert, Marianne von Schwerin, Meinrad Beer, Christopher Kloth
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract Since the beginning of the COVID-19 pandemic, many different machine learning models have been developed to detect and verify COVID-19 pneumonia based on chest X-ray images. Although promising, binary models have only limited implications fo
Externí odkaz:
https://doaj.org/article/6938be97cebe4916b189878fdecced52
Autor:
Daniel Schaudt, Reinhold von Schwerin, Alexander Hafner, Pascal Riedel, Christian Späte, Manfred Reichert, Andreas Hinteregger, Meinrad Beer, Christopher Kloth
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract In medical imaging, deep learning models can be a critical tool to shorten time-to-diagnosis and support specialized medical staff in clinical decision making. The successful training of deep learning models usually requires large amounts of
Externí odkaz:
https://doaj.org/article/84e1234e552b4fe285310a86d9e50b84
Autor:
Marius Breitmayer, Michael Stach, Robin Kraft, Johannes Allgaier, Manfred Reichert, Winfried Schlee, Thomas Probst, Berthold Langguth, Rüdiger Pryss
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Mobile applications have gained popularity in healthcare in recent years. These applications are an increasingly important pillar of public health care, as they open up new possibilities for data collection and can lead to new insights into
Externí odkaz:
https://doaj.org/article/cfcef44942634a19b061efbb1953cf71
Publikováno v:
Information, Vol 15, Iss 4, p 229 (2024)
Integrating the Internet of Things (IoT) into business process management (BPM) aims to increase the automation level, efficiency, transparency, and comprehensibility of the business processes taking place in the physical world. The IoT enables the s
Externí odkaz:
https://doaj.org/article/6742d3c7af1d4265b51a2957101da1fa
Publikováno v:
Sensors, Vol 24, Iss 8, p 2612 (2024)
Notifications are an essential part of the user experience on smart mobile devices. While some apps have to notify users immediately after an event occurs, others can schedule notifications strategically to notify them only on opportune moments. This
Externí odkaz:
https://doaj.org/article/21f0409a494e439f98aae3650160e105
Publikováno v:
Brain Sciences, Vol 14, Iss 4, p 303 (2024)
The study of complex process models often encounters challenges in terms of comprehensibility. This paper explores using modularization as a strategy to mitigate such challenges, notably the reduction in complexity. Previous research has delved into
Externí odkaz:
https://doaj.org/article/a898994534bf4ad1a346e1f60b08d897