Background: Digital health is well-positioned in low and middle-income countries (LMICs) to revolutionize health care due, in part, to increasing mobile phone access and internet connectivity. This paper evaluates the underlying factors that can potentially facilitate or hinder the progress of digital …

Machine learning models have proven to be reliable methods in classification tasks. However, little research has been done on classifying dwelling characteristics based on smart meter & weather data before. Gaining insights into dwelling characteristics can be helpful to create/improve the policies for …

Purpose The Work Assessment Triage Tool (WATT) is a clinical decision support tool developed using machine learning to help select interventions for patients with musculoskeletal disorders. The WATT categorizes patients based on individual characteristics according to likelihood of successful return …

Op het spoor in Nederland worden verscheidene componenten gebruikt om het systeem draaiende te houden. Het systeem komt geregeld in storing en hierdoor kan de normale dienstregeling geen doorgang meer vinden. Dit zorgt uiteindelijke voor vertragingen bij de reiziger. In deze scriptie zal worden in gegaan …

Invited presentation at University of Leeds on new technologies surrounding seismic activity

Both Software Engineering and Machine Learning have become recognized disciplines. In this article I analyse the combination of the two: engineering of machine learning applications. I believe the systematic way of working for machine learning applications is at certain points different from traditional …

This paper contributes to the knowledge of the performativity of accounting by exploring the unexpected consequences of a management accounting and control system (MAC) as designed in a large public organization. In an organization in the Dutch sector of Nursing Homes, Homes for the Elderly and Homecare …

The goal of this study was therefore to test the idea that computationally analysing the Fontys National Student Surveys (NSS) open answers using a selection of standard text mining methods (Manning & Schütze 1999) will increase the value of these answers for educational quality assurance. It is expected …

Machine learning algorithms can help to find patterns (coherence) in the "ingredients" (data). As long as the conditions aren 't changed, taking these patterns as it 's starting point, it can extrapolate the ingredients to the (near) future, showing some future developmental possibilities (again, as …

Een parallelsessie over machinelearningprojecten uitgevoerd door Ambient Intelligence.