Aim To identify predictors of late academic or early career dropout, and derive a simple model for identifying nursing students and novice nurses with significant increased dropout risk. Background Dropout from nursing school and the nursing profession is of great concern for students, educators, as …

Abstract Background: COVID-19 was first identified in December 2019 in the city of Wuhan, China. The virus quickly spread and was declared a pandemic on March 11, 2020. After infection, symptoms such as fever, a (dry) cough, nasal congestion, and fatigue can develop. In some cases, the virus causes severe …

While modern wind turbines have become by far the largest rotating machines on Earth with further upscaling planned for the future, a renewed interest in small wind turbines (SWTs) is fostering energy transition and smart grid development. Small machines have traditionally not received the same level …

Abstract BackgroundFrailty is a syndrome that is defined as an accumulation of deficits in physical, psychological, and social domains. On a global scale, there is an urgent need to create frailty-ready healthcare systems due to the healthcare burden that frailty confers on systems and the increased …

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 …

Since the start of the COVID-19 pandemic, organisations have drastically started to reformulate the functionalities of their offices. The trend hybrid working has caused office buildings to have considerable low occupancy rates, as employees rather perform certain tasks at home and do not feel like the …

New approach methodologies predicting human cardiotoxicity are of interest to support or even replace in vivo-based drug safety testing. The present study presents an in vitro–in silico approach to predict the effect of inter-individual and inter-ethnic kinetic variations in the cardiotoxicity of R- …

Traditionally moving raw data from source to destination has been a tedious process of planning infrastructure predicting scalability, availability, and costs. The solution demonstrated in this thesis is a serverless ETL pipeline that manages semi-structured data and transforms it into a query-compatible …

Background: Modern modeling techniques may potentially provide more accurate predictions of dichotomous outcomes than classical techniques. Objective: In this study, we aimed to examine the predictive performance of eight modeling techniques to predict mortality by frailty. Methods: We performed a …

Keynote speech 'Selection in higher education: Predicting academic performance & fostering fairness and diversity' georganiseerd vanuit het lectoraat Lectoraat Talentontwikkeling in Hoger Onderwijs en Samenleving van de Hanzehogeschool Groningen.