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1. Exploring the Time Trend of Stress Levels While Using the Crowdsensing Mobile Health Platform, TrackYourStress, and the Influence of Perceived Stress Reactivity: Ecological Momentary Assessment Pilot Study

Author

Pryss, Rüdiger, John, Dennis, Schlee, Winfried, Schlotz, Wolff, Schobel, Johannes, Kraft, Robin, Spiliopoulou, Myra, Langguth, Berthold, Reichert, Manfred, O'Rourke, Teresa, Peters, Henning, Pieh, Christoph, Lahmann, Claas, and Probst, Thomas

Subjects
Information technology, T58.5-58.64, Public aspects of medicine, RA1-1270
Abstract

BackgroundThe mobile phone app, TrackYourStress (TYS), is a new crowdsensing mobile health platform for ecological momentary assessments of perceived stress levels. ObjectiveIn this pilot study, we aimed to investigate the time trend of stress levels while using TYS for the entire population being studied and whether the individuals’ perceived stress reactivity moderates stress level changes while using TYS. MethodsUsing TYS, stress levels were measured repeatedly with the 4-item version of the Perceived Stress Scale (PSS-4), and perceived stress reactivity was measured once with the Perceived Stress Reactivity Scale (PSRS). A total of 78 nonclinical participants, who provided 1 PSRS assessment and at least 4 repeated PSS-4 measurements, were included in this pilot study. Linear multilevel models were used to analyze the time trend of stress levels and interactions with perceived stress reactivity. ResultsAcross the whole sample, stress levels did not change while using TYS (P=.83). Except for one subscale of the PSRS, interindividual differences in perceived stress reactivity did not influence the trajectories of stress levels. However, participants with higher scores on the PSRS subscale reactivity to failure showed a stronger increase of stress levels while using TYS than participants with lower scores (P=.04). ConclusionsTYS tracks the stress levels in daily life, and most of the results showed that stress levels do not change while using TYS. Controlled trials are necessary to evaluate whether it is specifically TYS or any other influence that worsens the stress levels of participants with higher reactivity to failure.

Published
2019
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2. Learnability of a Configurator Empowering End Users to Create Mobile Data Collection Instruments: Usability Study

Author

Schobel, Johannes, Pryss, Rüdiger, Probst, Thomas, Schlee, Winfried, Schickler, Marc, and Reichert, Manfred

Subjects
Information technology, T58.5-58.64, Public aspects of medicine, RA1-1270
Abstract

BackgroundMany research domains still heavily rely on paper-based data collection procedures, despite numerous associated drawbacks. The QuestionSys framework is intended to empower researchers as well as clinicians without programming skills to develop their own smart mobile apps in order to collect data for their specific scenarios. ObjectiveIn order to validate the feasibility of this model-driven, end-user programming approach, we conducted a study with 80 participants. MethodsAcross 2 sessions (7 days between Session 1 and Session 2), participants had to model 10 data collection instruments (5 at each session) with the developed configurator component of the framework. In this context, performance measures like the time and operations needed as well as the resulting errors were evaluated. Participants were separated into two groups (ie, novices vs experts) based on prior knowledge in process modeling, which is one fundamental pillar of the QuestionSys framework. ResultsStatistical analysis (t tests) revealed that novices showed significant learning effects for errors (P=.04), operations (P

Published
2018
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5. The statistical analysis plan for the unification of treatments and interventions for tinnitus patients randomized clinical trial (UNITI-RCT)

Author

Simoes, Jorge Piano, Schoisswohl, Stefan, Schlee, Winfried, Basso, Laura, Bernal-Robledano, Alberto, Boecking, Benjamin, Cima, Rilana, Denys, Sam, Engelke, Milena, Escalera-Balsera, Alba, Gallego-Martinez, Alvaro, Gallus, Silvano, Kikidis, Dimitris, López-Escámez, Jose A., Marcrum, Steven C., Markatos, Nikolaos, Martin-Lagos, Juan, Martinez-Martinez, Marta, Mazurek, Birgit, Vassou, Evgenia, Jarach, Carlotta Micaela, Mueller-Locatelli, Nicolas, Neff, Patrick, Niemann, Uli, Omar, Hafez Kader, Puga, Clara, Schleicher, Miro, Unnikrishnan, Vishnu, Perez-Carpena, Patricia, Pryss, Rüdiger, Robles-Bolivar, Paula, Rose, Matthias, Schecklmann, Martin, Schiele, Tabea, Schobel, Johannes, Spiliopoulou, Myra, Stark, Sabine, Vogel, Carsten, Wunder, Nina, Zachou, Zoi, and Langguth, Berthold

Published
2023
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6. UNITI Mobile -- EMI-Apps for a Large-Scale European Study on Tinnitus

Author

Vogel, Carsten, Schobel, Johannes, Schlee, Winfried, Engelke, Milena, and Pryss, Rüdiger

Subjects
Computer Science - Other Computer Science, D.2.13, J.3, J.4, H.4.0
Abstract

More and more observational studies exploit the achievements of mobile technology to ease the overall implementation procedure. Many strategies like digital phenotyping, ecological momentary assessments or mobile crowdsensing are used in this context. Recently, an increasing number of intervention studies makes use of mobile technology as well. For the chronic disorder tinnitus, only few long-running intervention studies exist, which use mobile technology in a larger setting. Tinnitus is characterized by its heterogeneous patient's symptom profiles, which complicates the development of general treatments. In the UNITI project, researchers from different European countries try to unify existing treatments and interventions to cope with this heterogeneity. One study arm (UNITI Mobile) exploits mobile technology to investigate newly implemented interventions types, especially within the pan-European setting. The goals are to learn more about the validity and usefulness of mobile technology in this context. Furthermore, differences among the countries shall be investigated. Practically, two native intervention apps have been developed for UNITI and the mobile study arm, which pose features not presented so far in other apps of the authors. Along the implementation procedure, it is discussed whether these features might leverage similar types of studies in future. Since instruments like the mHealth evidence reporting and assessment checklist (mERA), developed by the WHO mHealth technical evidence review group, indicate that aspects shown for UNITI Mobile are important in the context of health interventions using mobile phones, our findings may be of a more general interest and are therefore being discussed in the work at hand., Comment: Accepted for presentation at the 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society October 31 November 4, 2021

Published
2021

7. Corona Health -- A Study- and Sensor-based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic

Author

Beierle, Felix, Schobel, Johannes, Vogel, Carsten, Allgaier, Johannes, Mulansky, Lena, Haug, Fabian, Haug, Julian, Schlee, Winfried, Holfelder, Marc, Stach, Michael, Schickler, Marc, Baumeister, Harald, Cohrdes, Caroline, Deckert, Jürgen, Deserno, Lorenz, Edler, Johanna-Sophie, Eichner, Felizitas A., Greger, Helmut, Hein, Grit, Heuschmann, Peter, John, Dennis, Kestler, Hans A., Krefting, Dagmar, Langguth, Berthold, Meybohm, Patrick, Probst, Thomas, Reichert, Manfred, Romanos, Marcel, Störk, Stefan, Terhorst, Yannik, Weiß, Martin, and Pryss, Rüdiger

Subjects
Computer Science - Computers and Society
Abstract

Physical and mental well-being during the COVID-19 pandemic is typically assessed via surveys, which might make it difficult to conduct longitudinal studies and might lead to data suffering from recall bias. Ecological momentary assessment (EMA) driven smartphone apps can help alleviate such issues, allowing for in situ recordings. Implementing such an app is not trivial, necessitates strict regulatory and legal requirements, and requires short development cycles to appropriately react to abrupt changes in the pandemic. Based on an existing app framework, we developed Corona Health, an app that serves as a platform for deploying questionnaire-based studies in combination with recordings of mobile sensors. In this paper, we present the technical details of Corona Health and provide first insights into the collected data. Through collaborative efforts from experts from public health, medicine, psychology, and computer science, we released Corona Health publicly on Google Play and the Apple App Store (in July, 2020) in 8 languages and attracted 7,290 installations so far. Currently, five studies related to physical and mental well-being are deployed and 17,241 questionnaires have been filled out. Corona Health proves to be a viable tool for conducting research related to the COVID-19 pandemic and can serve as a blueprint for future EMA-based studies. The data we collected will substantially improve our knowledge on mental and physical health states, traits and trajectories as well as its risk and protective factors over the course of the COVID-19 pandemic and its diverse prevention measures.

Published
2021

8. Medical device regulation efforts for mHealth apps -- An experience report of Corona Check and Corona Health

Author

Holfelder, Marc, Mulansky, Lena, Schlee, Winfried, Baumeister, Harald, Schobel, Johannes, Greger, Helmut, Hoff, Andreas, and Pryss, Rüdiger

Subjects
Computer Science - Software Engineering, Computer Science - Computers and Society
Abstract

Within the healthcare environment, mobile health (mHealth) applications (apps) are more and more important. The number of new mHealth apps has risen steadily in the last years. Especially the Covid-19 pandemic has led to an enormous amount of app releases. Notably, in most countries, mHealth applications have to be already compliant with several regulatory aspects in order to be declared to be a 'medical app'. However, the latest applicable medical device regulation (MDR) does not comment in more detail on the topic of the requirements for mHealth applications. When developing a medical app, it is essential that all contributors in an interdisciplinary team - especially the software engineers - are aware of the specific regulatory requirements beforehand. The development process, however, should not be stalled too long due to the integration of the MDR. Therefore, a developing framework, which includes these aspects, is required, to enable a smooth development process. The paper at hand introduces the creation of such a framework on the basis of the Corona Health and Corona Check apps. The relevant regulatory guidelines are listed and summarized to a guidance for medical app developments. In particular, the important stages and faced challenges emerged during the entire development process are highlighted.

Published
2021

9. Developing Apps for Researching the COVID-19 Pandemic with the TrackYourHealth Platform

Author

Vogel, Carsten, Pryss, Rüdiger, Schobel, Johannes, Schlee, Winfried, and Beierle, Felix

Subjects
Computer Science - Software Engineering, Computer Science - Computers and Society, D.2.13, J.3, J.4, H.4.0
Abstract

Through lockdowns and other severe changes to daily life, almost everyone is affected by the COVID-19 pandemic. Scientists and medical doctors are - among others - mainly interested in researching, monitoring, and improving physical and mental health of the general population. Mobile health apps (mHealth), and apps conducting ecological momentary assessments (EMA) respectively, can help in this context. However, developing such mobile applications poses many challenges like costly software development efforts, strict privacy rules, compliance with ethical guidelines, local laws, and regulations. In this paper, we present TrackYourHealth (TYH), a highly configurable, generic, and modular mobile data collection and EMA platform, which enabled us to develop and release two mobile multi-platform applications related to COVID-19 in just a few weeks. We present TYH and highlight specific challenges researchers and developers of similar apps may also face, especially when developing apps related to the medical field., Comment: Accepted for publication in the proceedings of the 2021 IEEE/ACM 8th International Conference on Mobile Software Engineering and Systems (MobileSoft)

Published
2021

16. ProVIA-Kids - outcomes of an uncontrolled study on smartphone-based behaviour analysis for challenging behaviour in children with intellectual and developmental disabilities or autism spectrum disorder.

Author

Meerson, Rinat, Buchholz, Hanna, Kammerer, Klaus, Göster, Manuel, Schobel, Johannes, Ratz, Christoph, Pryss, Rüdiger, Taurines, Regina, Romanos, Marcel, Gamer, Matthias, and Geissler, Julia

Subjects
TREATMENT of autism, MOBILE apps, BEHAVIOR disorders, PEARSON correlation (Statistics), PARENTS, CHILDREN with disabilities, SMARTPHONES, T-test (Statistics), DATA analysis, CLINICAL trials, PILOT projects, DESCRIPTIVE statistics, PARENTING, INTELLECTUAL disabilities, DEVELOPMENTAL disabilities, PRE-tests & post-tests, PSYCHOLOGICAL stress, STATISTICS, ASPERGER'S syndrome, DATA analysis software, AFFECT (Psychology), CHILD behavior, BEHAVIOR therapy
Abstract

Introduction: Challenging behaviour (CB) is a common issue among children with autism spectrum disorder or intellectual and developmental disability. Mental health applications are low-threshold cost-effective tools to address the lack of resources for caregivers. This pre-post study evaluated the feasibility and preliminary effectiveness of the smartphone app ProVIA-Kids using algorithm-based behaviour analysis to identify causes of CB and provide individualized practical guidance to manage and prevent CB. Methods: A total of 18 caregivers (M= 38.9 ± 5.0) of children with a diagnosis of autism spectrum disorder (44%), intellectual and developmental disabilities (33%) or both (22%) aged 4-11 years (M= 7.6 ± 1.8) were included. Assessments were performed before and after an 8-week intervention period. The primary outcome was the change in parental stress. Caregiver stress experience due to CB was also rated daily via ecological momentary assessments within the app. Secondary outcomes included the intensity of the child's CB, dysfunctional parenting, feelings of parental competency as well as caregivers' mood (rated daily in the app) and feedback on the app collected via the Mobile Application Rating Scale. Results: We observed increases in parental stress in terms of conscious feelings of incompetence. However, we also saw improvements in parental stress experience due to CB and overreactive parenting, and descriptive improvements in CB intensity and caregiver mood. Discussion: ProVIA-Kids pioneers behaviour analysis in a digital and automated format, with participants reporting high acceptance. Pilot results highlight the potential of the ProVIA-Kids app to positively influence child behaviour and caregiver mental health over a longer intervention period. [ABSTRACT FROM AUTHOR]

Published
2024
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17. Predicting the Health Condition of mHealth App Users with Large Differences in the Number of Recorded Observations - Where to Learn from?

Author

Unnikrishnan, Vishnu, Shah, Yash, Schleicher, Miro, Strandzheva, Mirela, Dimitrov, Plamen, Velikova, Doroteya, Pryss, Ruediger, Schobel, Johannes, Schlee, Winfried, Spiliopoulou, Myra, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Appice, Annalisa, editor, Tsoumakas, Grigorios, editor, Manolopoulos, Yannis, editor, and Matwin, Stan, editor

Published
2020
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20. Single versus Combination Treatment in Tinnitus: An International, Multicentre, Parallel-arm, Superiority, Randomised Controlled Trial

Author

Schoisswohl, Stefan, primary, Basso, Laura, additional, Simoes, Jorge, additional, Engelke, Milena, additional, Langguth, Berthold, additional, Mazurek, Birgit, additional, Lopez-Escamez, Jose Antonio, additional, Kikidis, Dimitrios, additional, Cima, Rilana, additional, Bernal-Robledano, Alberto, additional, Boecking, Benjamin, additional, Bulla, Jan, additional, Cederroth, Christopher R., additional, Denys, Sam, additional, Escalera-Balsera, Alba, additional, Gallego-Martinez, Alvaro, additional, Gallus, Silvano, additional, Hidalgo-Lopez, Leyre, additional, Jarach, Carlotta M., additional, Kader, Hafez, additional, Koller, Michael, additional, Lugo, Alessandra, additional, Marcrum, Steven C., additional, Markatos, Nikos, additional, Martin-Lagos, Juan, additional, Martinez-Martinez, Marta, additional, Muller-Locatelli, Nicolas, additional, Neff, Patrick, additional, Niemann, Uli, additional, Perez-Carpena, Patricia, additional, Pryss, Rüdiger, additional, Puga, Clara, additional, Robles-Bolivar, Paula, additional, Rose, Matthias, additional, Schecklmann, Martin, additional, Schiele, Tabea, additional, Schleicher, Miro, additional, Schobel, Johannes, additional, Spiliopoulou, Myra, additional, Stark, Sabine, additional, Staudinger, Susanne, additional, Stege, Alexandra, additional, Toedtli, Beat, additional, Trochidis, Ilias, additional, Unnikrishnan, Vishnu, additional, Vassou, Evgenia, additional, Verhaert, Nicolas, additional, Vogel, Carsten, additional, Zachou, Zoi, additional, and Schlee, Winfried, additional

Published
2024
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22. Serious Games in Orofacial Myofunctional Disorder Therapy for Children: An Expert Survey.

Author

HIEBER, Daniel, HEINDL, Anna, KARTHAN, Maximilian, HOLL, Felix, KRÜGER, Tobias, PRYSS, Rüdiger, and SCHOBEL, Johannes

Abstract

Orofacial Myofunctional Disorder (OMD) is believed to affect approximately 30-50% of all children. The various causes of OMD often revolve around an incorrect resting position of the tongue and cause symptoms such as difficulty in speech and swallowing. While these symptoms can persist and lead to jaw deformities, such as overjet and open bite, manual therapy has been shown to be effective, especially in children. However, much of the therapy must be done as home exercises by children without the supervision of a therapist. Since these exercises are often not perceived as exciting by the children, half-hearted performance or complete omission of the exercises is common, rendering the therapy less effective or completely useless. To overcome this limitation, we implemented the LudusMyo platform, a serious game platform for OMD therapy. While children are the main target group, the acceptance (and usability) assessment by experts is the first milestone for the successful implementation of an mHealth application for therapy. For this reason, we conducted an expert survey among OMD therapists to gather their input on the LudusMyo prototype. The results of this expert survey are reported in this manuscript. [ABSTRACT FROM AUTHOR]

Published
2024
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23. Comparing nnU-Net and deepflash2 for Histopathological Tumor Segmentation.

Author

HIEBER, Daniel, HAISCH, Nico, GRAMBOW, Gregor, HOLL, Felix, LIESCHE-STARNECKER, Friederike, PRYSS, Rüdiger, SCHLEGEL, Jürgen, and SCHOBEL, Johannes

Abstract

Machine Learning (ML) has evolved beyond being a specialized technique exclusively used by computer scientists. Besides the general ease of use, automated pipelines allow for training sophisticated ML models with minimal knowledge of computer science. In recent years, Automated ML (AutoML) frameworks have become serious competitors for specialized ML models and have even been able to outperform the latter for specific tasks. Moreover, this success is not limited to simple tasks but also complex ones, like tumor segmentation in histopathological tissue, a very time-consuming task requiring years of expertise by medical professionals. Regarding medical image segmentation, the leading AutoML frameworks are nnU-Net and deepflash2. In this work, we begin to compare those two frameworks in the area of histopathological image segmentation. This use case proves especially challenging, as tumor and healthy tissue are often not clearly distinguishable by hard borders but rather through heterogeneous transitions. A dataset of 103 whole-slide images from 56 glioblastoma patients was used for the evaluation. Training and evaluation were run on a notebook with consumer hardware, determining the suitability of the frameworks for their application in clinical scenarios rather than high-performance scenarios in research labs. [ABSTRACT FROM AUTHOR]

Published
2024
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26. Eye Tracking Experiments on Process Model Comprehension: Lessons Learned

Author

Zimoch, Michael, Pryss, Rüdiger, Schobel, Johannes, Reichert, Manfred, van der Aalst, Wil M.P., Series editor, Mylopoulos, John, Series editor, Rosemann, Michael, Series editor, Shaw, Michael J., Series editor, Szyperski, Clemens, Series editor, Reinhartz-Berger, Iris, editor, Gulden, Jens, editor, Nurcan, Selmin, editor, Guédria, Wided, editor, and Bera, Palash, editor

Published
2017
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27. Business Process Intelligence Tools

Author

Schobel, Johannes, Reichert, Manfred, Kacprzyk, Janusz, Series editor, Jain, Lakhmi C., Series editor, Grambow, Gregor, editor, Oberhauser, Roy, editor, and Reichert, Manfred, editor

Published
2017
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29. A Configurator Component for End-User Defined Mobile Data Collection Processes

Author

Schobel, Johannes, Pryss, Rüdiger, Schickler, Marc, Reichert, Manfred, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Drira, Khalil, editor, Wang, Hongbing, editor, Yu, Qi, editor, Wang, Yan, editor, Yan, Yuhong, editor, Charoy, François, editor, Mendling, Jan, editor, Mohamed, Mohamed, editor, Wang, Zhongjie, editor, and Bhiri, Sami, editor

Published
2017
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30. Development of Mobile Data Collection Applications by Domain Experts: Experimental Results from a Usability Study

Author

Schobel, Johannes, Pryss, Rüdiger, Schlee, Winfried, Probst, Thomas, Gebhardt, Dominic, Schickler, Marc, Reichert, Manfred, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Dubois, Eric, editor, and Pohl, Klaus, editor

Published
2017
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31. Implementierung

Author

Schickler, Marc, Reichert, Manfred, Pryss, Rüdiger, Schobel, Johannes, Schlee, Winfried, Langguth, Berthold, Schickler, Marc, Reichert, Manfred, Pryss, Rüdiger, Schobel, Johannes, Schlee, Winfried, and Langguth, Berthold

Published
2015
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32. Architektur

Author

Schickler, Marc, Reichert, Manfred, Pryss, Rüdiger, Schobel, Johannes, Schlee, Winfried, Langguth, Berthold, Schickler, Marc, Reichert, Manfred, Pryss, Rüdiger, Schobel, Johannes, Schlee, Winfried, and Langguth, Berthold

Published
2015
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33. Arten der Anwendungsentwicklung

Author

Schickler, Marc, Reichert, Manfred, Pryss, Rüdiger, Schobel, Johannes, Schlee, Winfried, Langguth, Berthold, Schickler, Marc, Reichert, Manfred, Pryss, Rüdiger, Schobel, Johannes, Schlee, Winfried, and Langguth, Berthold

Published
2015
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34. Vorstellung des Track-Your-Tinnitus-Rahmenwerks

Author

Schickler, Marc, Reichert, Manfred, Pryss, Rüdiger, Schobel, Johannes, Schlee, Winfried, Langguth, Berthold, Schickler, Marc, Reichert, Manfred, Pryss, Rüdiger, Schobel, Johannes, Schlee, Winfried, and Langguth, Berthold

Published
2015
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35. User-Interface-Styleguides

Author

Schickler, Marc, Reichert, Manfred, Pryss, Rüdiger, Schobel, Johannes, Schlee, Winfried, Langguth, Berthold, Schickler, Marc, Reichert, Manfred, Pryss, Rüdiger, Schobel, Johannes, Schlee, Winfried, and Langguth, Berthold

Published
2015
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36. Umfrage

Author

Schickler, Marc, Reichert, Manfred, Pryss, Rüdiger, Schobel, Johannes, Schlee, Winfried, Langguth, Berthold, Schickler, Marc, Reichert, Manfred, Pryss, Rüdiger, Schobel, Johannes, Schlee, Winfried, and Langguth, Berthold

Published
2015
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38. Einleitung

Author

Schickler, Marc, Reichert, Manfred, Pryss, Rüdiger, Schobel, Johannes, Schlee, Winfried, Langguth, Berthold, Schickler, Marc, Reichert, Manfred, Pryss, Rüdiger, Schobel, Johannes, Schlee, Winfried, and Langguth, Berthold

Published
2015
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40. A Lightweight Process Engine for Enabling Advanced Mobile Applications

Author

Schobel, Johannes, Pryss, Rüdiger, Schickler, Marc, Reichert, Manfred, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Debruyne, Christophe, editor, Panetto, Hervé, editor, Meersman, Robert, editor, Dillon, Tharam, editor, Kühn, eva, editor, O'Sullivan, Declan, editor, and Ardagna, Claudio Agostino, editor

Published
2016
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41. A Mobile Service Engine Enabling Complex Data Collection Applications

Author

Schobel, Johannes, Pryss, Rüdiger, Wipp, Wolfgang, Schickler, Marc, Reichert, Manfred, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Sheng, Quan Z., editor, Stroulia, Eleni, editor, Tata, Samir, editor, and Bhiri, Sami, editor

Published
2016
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43. Zusammenfassung

Author

Schickler, Marc, Reichert, Manfred, Pryss, Rüdiger, Schobel, Johannes, Schlee, Winfried, Langguth, Berthold, Schickler, Marc, Reichert, Manfred, Pryss, Rüdiger, Schobel, Johannes, Schlee, Winfried, and Langguth, Berthold

Published
2015
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45. Process-Driven Data Collection with Smart Mobile Devices

Author

Schobel, Johannes, Schickler, Marc, Pryss, Rüdiger, Reichert, Manfred, van der Aalst, Wil M.P., Series editor, Mylopoulos, John, Series editor, Rosemann, Michael, Series editor, Shaw, Michael J., Series editor, Szyperski, Clemens, Series editor, Monfort, Valérie, editor, and Krempels, Karl-Heinz, editor

Published
2015
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46. A patient survey indicates quality of life and progression-free survival as equally important outcome measures in multiple myeloma clinical trials

Author

Fleischer, Anna, primary, Zapf, Larissa, additional, Allgaier, Johannes, additional, Jordan, Karin, additional, Gelbrich, Götz, additional, Pryss, Rüdiger, additional, Schobel, Johannes, additional, Bittrich, Max, additional, Einsele, Hermann, additional, Kortüm, Martin, additional, Maatouk, Imad, additional, Weinhold, Niels, additional, and Rasche, Leo, additional

Published
2023
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47. The Statistical Analysis Plan for the Unification of Treatments and Interventions for Tinnitus Patients Randomized Clinical Trial (UNITI-RCT)

Author

Simoes, Jorge, primary, Schoisswohl, Stefan, additional, Schlee, Winfried, additional, Basso, Laura, additional, Bernal-Robledano, Alberto, additional, Boecking, Benjamin, additional, Cima, Rilana, additional, Denys, Sam, additional, Engelke, Milena, additional, Escalera-Balsera, Alba, additional, Gallego-Martinez, Alvaro, additional, Gallus, Silvano, additional, Kikidis, Dimitris, additional, Escámez, Jose Antonio López, additional, Marcrum, Steven C., additional, Markatos, Nikolaos, additional, Martin-Lagos, Juan, additional, Martinez-Martinez, Marta, additional, Mazurek, Birgit, additional, Vassou, Evgenia, additional, Jarach, Carlotta Micaela, additional, Mueller-Locatelli, Nicolas, additional, Neff, Patrick, additional, Niemann, Uli, additional, Omar, Hafez Kader, additional, Puga, Clara, additional, Schleicher, Miro, additional, Unnikrishnan, Vishnu, additional, Perez-Carpena, Patricia, additional, Pryss, Rüdiger, additional, Robles-Bolivar, Paula, additional, Rose, Matthias, additional, Schecklmann, Martin, additional, Schiele, Tabea, additional, Schobel, Johannes, additional, Spiliopoulou, Myra, additional, Stark, Sabine, additional, Vogel, Carsten, additional, Wunder, Nina, additional, Zachou, Zoi, additional, and Langguth, Berthold, additional

Published
2023
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48. Self-Assessment of Having COVID-19 With the Corona Check Mhealth App

Author

Beierle, Felix, primary, Allgaier, Johannes, additional, Stupp, Carolin, additional, Keil, Thomas, additional, Schlee, Winfried, additional, Schobel, Johannes, additional, Vogel, Carsten, additional, Haug, Fabian, additional, Haug, Julian, additional, Holfelder, Marc, additional, Langguth, Berthold, additional, Langguth, Jana, additional, Riens, Burgi, additional, King, Ryan, additional, Mulansky, Lena, additional, Schickler, Marc, additional, Stach, Michael, additional, Heuschmann, Peter, additional, Wildner, Manfred, additional, Greger, Helmut, additional, Reichert, Manfred, additional, Kestler, Hans A., additional, and Pryss, Rüdiger, additional

Published
2023
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49. Smartphone-based behaviour analysis for challenging behaviour in intellectual and developmental disabilities and autism spectrum disorder – Study protocol for the ProVIA trial

Author

Geissler, Julia, primary, Buchholz, Hanna, additional, Meerson, Rinat, additional, Kammerer, Klaus, additional, Göster, Manuel, additional, Schobel, Johannes, additional, Ratz, Christoph, additional, Taurines, Regina, additional, Pryss, Rüdiger, additional, and Romanos, Marcel, additional

Published
2022
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