Auflistung nach Autor:in "Gand, Kai"
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- ZeitschriftenartikelContinuous support for rehabilitation using machine learning(it - Information Technology: Vol. 61, No. 5-6, 2019) Philipp, Patrick; Merkle, Nicole; Gand, Kai; Gißke, CarolaProviding a suitable rehabilitation at home after an acute episode or a chronic disease is a major issue as it helps people to live independently and enhance their quality of life. However, as the rehabilitation period usually lasts some months, the continuity of care is often interrupted in the transition from the hospital to the home. Relieving the healthcare system and personalizing the care or even bringing care to the patients’ home to a greater extent is, in consequence, the superior need. This is why we propose to make use of information technology to come to participatory design driven by users needs and the personalisation of the care pathways enabled by technology. To allow this, patient rehabilitation at home needs to be supported by automatic decision-making, as physicians cannot constantly supervise the rehabilitation process. Thus, we need computer-assisted patient rehabilitation, which monitors the fitness of the current patient plan to detect sub-optimality, proposes personalised changes for a patient and eventually generalizes over patients and proposes better initial plans. Therefore, we will explain the use case of patient rehabilitation at home, the basic challenges in this field and machine learning applications that could address these challenges by technical means.
- KonferenzbeitragIntegrated enterprise modeling lectures for master classes(Modellierung 2016 - Workshopband, 2016) Braun, Richard; Wendler, Hannes; Benedict, Martin; Burwitz, Martin; Gand, Kai; Richter, Peggy; Rößler, Richard; Schlieter, Hannes; Stark, Jeannette; Esswein, WernerThis paper presents the structure and contents of an integrated curriculum on teaching enterprise modeling for master students at a large German university. The module is composed of two main master classes (Business Engineering and Enterprise Modeling) and supplemented by an additional seminar and the final master thesis. The major classes respectively consist of twelve lectures and a large practical exercise part, in which the students have to solve given modeling tasks from two realistic case studies. The curriculum is organized and arranged according to an enterprise architecture framework in order to provide an integrated view on enterprise modeling and respective learning contents. It covers business-related and IT-related perspectives and their consequences for applicable modeling languages.