This article has argued against waste in research endeavors so funding bodies, decision makers, and researchers can consider appropriate designs and methodologies for psycho social intervention in dementia. We highlight important methodological concerns which should be addressed. To reduce the gap between …

The internationalization of higher education has been driven by an increasingly globalized and interconnected world. One concept that embodies this internationalization process is global citizenship, which can be promoted through student mobility, internationalization-at-home, or other forms of intercultural …

In dit onderzoek is gekeken naar voorbeelden uit de literatuur vanuit verschillende gezondheidsdisciplines. Verschillende studies pasten machine learning (vaak deep learning) toe voor de vroegdetectie van ziekten op basis van beschikbare data uit het elektronisch patiëntendossier (EPD). Het bleek dat …

This research investigates the consumer behaviour of different generations towardsplant-based drinks in the Netherlands and Canada, aiming to provide insights for moreeffective generational marketing targeting. The research identifies the motives behindpurchasing decisions and highlights notable differences …

Large language models in healthcare: from vision to practicePromoting innovation through multi-stakeholder perspectivesArtificial intelligence (AI)-driven language models offer unprecedented opportunities for innovation and optimisation. Delve into the transformative impact of Large Language Models (LLMs) …

This Justification Logfile documents the research-based strategies and decisions for the annual STEAM and space festival "HELLO SPACE | Bulgaria Calling!" in Bulgaria. Utilizing Scaled Agile Framework (SAFe) principles, this report supports strategic initiatives aimed at improving the festival’s visibility …

A core principle of privacy protection is to minimize the amount of personal data in data sets to the level needed for the intended usage. The rapid growth of data and data-driven applications demands for using efficient software tools to minimize personal data to the needed level. However, applying …

Aims: To investigate the impact of consecutive perioperative care transitions on in-hospital recovery of patients who had primary total knee arthroplasty (TKA) over an 11-year period. Methods: This observational cohort study used electronic health record data from all patients undergoing preoperative …

Abstract Technology has a major impact on the way nurses work. Data-driven technologies, such as artificial intelligence (AI), have particularly strong potential to support nurses in their work. However, their use also introduces ambiguities. An example of such a technology is AI-driven lifestyle monitoring …

Learn hands on how to solve logistics use cases by means of a data science infrastructure stack. Building a data-driven infrastructure is crucial for leveraging the full potential of data. In this context, infrastructure refers to the full spectrum of software and technologies (and their interrelationships) …