Actions based on alerts produced in this study appeared to significantly reduce hospitalizations. This paves the way for further testing of the model.

Sedentary past‐times such as video gameplay are cited as having a negative effect on children's Fundamental Motor Skills (FMS) acquisition. Conversely, “exergames” utilise 3D sensor control systems (eg, Kinect®) to offer full body interactive user experiences in which FMS outputs are often part of the game “play” experience. This study evaluated the impact that participation in (1) commercial exergames and, (2) purpose‐built exergames had on user locomotor skill outcomes (run, hop, skip, jump and slide) when both sets of games were deployed with a “principled” human‐in‐the‐loop personalisation process. Typically developing children aged between 5 and 6 years were divided into two groups; a control group (n = 20; 45% girls) exposed to commercial exergames and, an experimental group (n = 20; 50% girls) exposed to purpose‐built exergames. Gameplay was delivered daily, in the classroom, over a period of 8 weeks. The Test of Gross Motor Development‐2 was utilised to assess children's locomotor skills at three time points (pre, interim and posttest). A mixed analysis of variance with repeated measures on time was conducted to evaluate results of the experimental group in comparison to the control group. A significant interaction effect was observed relating to Time × Group. Pairwise comparisons with a Bonferroni adjustment demonstrated that the experimental group made significant improvements for each locomotor skill (run, hop, skip, jump and slide) from pretest to posttest while the control group made significant improvements in only one locomotor skill (the slide) over the same timeframe. Results indicate that principled design and deployment of purpose‐built exergames support high quality locomotor outputs and, improved outcomes over time. What is already known about this topic A majority of modern children do not possess proficient locomotor skills and cannot hop, skip or even run properly Teachers typically target motor skills in the Physical Education setting but these skills require regular personalised practice to improve performance 3D sensor controlled exergames provide a potential platform to target locomotor skill acquisition in the classroom, but currently lack the necessary design principles to improve user locomotor skill outcomes What this paper adds A suite of “principled” exergames with adaptable features to target locomotor skills in the classroom A human‐in‐the‐loop deployment process that empowers the teacher to be a crucial component of the learning experience Empirical evidence to support the effectiveness of purpose‐built exergames for locomotor skill acquisition purposes in the classroom Implications for practice and/or policy Educators can work with a gaming system to effectively deploy “short bouts” of 3D sensor exergameplay in the classroom and facilitate significantly improved locomotor skills in children. Design and development of educational technology could consider the teacher as a valuable “human intelligent system” capable of making decisions about the user and user exper...

Abstract. This study investigates role of defeasible reasoning and argumentation theory for decision-support in the health-care sector. The main objective is to support clinicians with a tool for taking plausible and rational medical decisions that can be better justified and explained. The basic principles of argumentation theory are described and demonstrated in a well known health scenario: the breast cancer recurrence problem. It is shown how to translate clinical evidence in the form of arguments, how to define defeat relations among them and how to create a formal argumentation framework. Acceptability semantics are then applied over this framework to compute arguments justification status. It is demonstrated how this process can enhance clinician decision-making. A well-known dataset has been used to evaluate our argument-based approach. An encouraging 74% predictive accuracy is compared against the accuracy of well-established machinelearning classifiers that performed equally or worse than our argument-based approach. This result is extremely promising because not only demonstrates how a knowledge-base paradigm can perform as well as state-of-the-art learning-based paradigms, but also because it appears to have a better explanatory capacity and a higher degree of intuitiveness that might be appealing to clinicians.

The

Business analytics (BA) is increasingly being utilised by radiology departments to analyse and present data. It encompasses statistical analysis, forecasting and predictive modelling and is used as an umbrella term for decision support and business intelligence systems. The primary aim of this study was to determine whether utilising BA technologies could contribute towards improved decision support and resource management within radiology departments. A set of information technology requirements were identified with key stakeholders, and a prototype BA software tool was designed, developed and implemented. A qualitative evaluation of the tool was carried out through a series of semi-structured interviews with key stakeholders. Feedback was collated, and emergent themes were identified. The results indicated that BA software applications can provide visibility of radiology performance data across all time horizons. The study demonstrated that the tool could potentially assist with improving operational efficiencies and management of radiology resources.