Background While low back pain occurs in nearly everybody and is the leading cause of disability worldwide, we lack instruments to accurately predict persistence of acute low back pain. We aimed to develop and internally validate a machine learning model predicting non-recovery in acute low back pain …

Predictive models and decision support tools allow information sharing, common situational awareness and real-time collaborative decision-making between airports and ground transport stakeholders. To support this general goal, IMHOTEP has developed a set of models able to anticipate the evolution of …

Abstract Aims: To lower the threshold for applying ultrasound (US) guidance during peripheral intravenous cannulation, nurses need to be trained and gain experience in using this technique. The primary outcome was to quantify the number of procedures novices require to perform before competency in US-guided …

Hoe kan iemand weer zelf de regie over zijn leven nemen na een cerebrovasculair accident? Een project moest zorgverleners handvatten geven om cliënten en naasten te ondersteunen bij dit proces.

Verschenen in het kader van het onderzoeksgebied: 'Monitoring and Predicting on Physical Performance in Daily Life and Sports'

There is a clear demand for a collaborative knowledge-sharing by online climate adaptation platforms that contribute to (inter)national knowledge exchange and raising awareness about climate change. Climate adaptation platforms (CAPs) can contain decision-support tools to facilitate the process of decision-making, …

Abstract for World Physiotherapy Congress 2021Title Ethical Considerations of Using Machine Learning for Decision Support in Occupational Physical Therapy: a narrative literature study and ethical deliberation. Authors Marianne W. M. C. Six Dijkstra1,4,7 · Egbert Siebrand2 · Steven Dorrestijn2 · Etto …

Cybersecurity threat and incident managers in large organizations, especially in the financial sector, are confronted more and more with an increase in volume and complexity of threats and incidents. At the same time, these managers have to deal with many internal processes and criteria, in addition …

This work focuses on humidity effects of turbofan engines, in order to identify the magnitude of the error in operational conditions and the implications on maintenance decision support. More specifically, this paper employs a set of different methods, including semi-empirical corrections used in engine …