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Women’s modern pentathlon scoring systems and predictive modelling for decision support
(2022) Im, Seol Hye; O'Donoghue, Peter G.; Department of Sport Science
Verk
Comparing Thirty30 Tennis with Traditional Tennis
(2020) O'Donoghue, Peter G.; Milne, Mark; Department of Sport Science
Verk
Strategic target setting in the heptathlon
(2020) Dinnie, Alf; O'Donoghue, Peter G.; Department of Sport Science
Verk
Effects of playing position, pitch location, opposition ability and team ability on the technical performance of elite soccer players in different score line states
(2019-02) Redwood-Brown, Athalie J.; O'Donoghue, Peter G.; Nevill, Alan M.; Saward, Chris; Sunderland, Caroline; Department of Sport Science
The purpose of this study was to investigate the effects of playing position, pitch location, team ability and opposition ability on technical performance variables (pass, cross, corner, free kick accuracy) of English Premier League Soccer players in difference score line states. A validated automatic tracking system (Venatrack) was used to code player actions in real time for passing accuracy, cross accuracy, corner accuracy and free kick accuracy. In total 376 of the 380 games played during the 2011-12 English premier League season were recorded, resulting in activity profiles of 570 players and over 35'000 rows of data. These data were analysed using multi-level modelling. Multi-level regression revealed a "u" shaped association between passing accuracy and goal difference (GD) with greater accuracy occurring at extremes of GD e.g., when the score was either positive or negative. The same pattern was seen for corner accuracy away from home e.g., corner accuracy was lowest when the score was close with the lowest accuracy at extremes of GD. Although free kicks were not associated with GD, team ability, playing position and pitch location were found to predict accuracy. No temporal variables were found to predict cross accuracy. A number of score line effects were present across the temporal factors which should be considered by coaches and managers when preparing and selecting teams in order to maximise performance. The current study highlighted the need for more sensitive score line definitions in which to consider score line effects.
Verk
From narratives to numbers : Data work and patient-generated health data in consultations
(IOS Press BV, 2018) Lindroth, Tomas; Islind, Anna Sigridur; Steineck, Gunnar; Lundin, Johan; Ugon, Adrien; Karlsson, Daniel; Klein, Gunnar O.; Moen, Anne; Department of Computer Science
This article presents preliminary findings on how the introduction of patient-generated health data (PGHD) triggers changes during patient-nurse consultations. This article builds on a two-year case study, examining the work practice at a cancer rehabilitation clinic at a Swedish Hospital using PGHD. The study focuses on how nurses' use data, gathered by patients with a mobile phone app, during consultations. The use of PGHD introduce a change in the translation work, the work of turning rich patient descriptions and transform them into data, during the consultation for documentation and clinical decision-making. This change affects precision, questions asked and the use of visualizations as well as the patient-nurse decision making.

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