Maintaining mental health can be quite challenging, especially when exposed to stressful situations. In many cases, mental health problems are recognized too late to effectively intervene and prevent adverse outcomes. Recent advances in the availability and reliability of wearable technologies offer …

BACKGROUND The mechanical power of ventilation (MP) has an association with outcome in invasively ventilated patients with the acute respiratory distress syndrome (ARDS). Whether a similar association exists in invasively ventilated patients without ARDS is less certain. OBJECTIVE To investigate the …

Individuals with autism increasingly enroll in universities, but little is known about predictors for their success. This study developed predictive models for the academic success of autistic bachelor students (N=101) in comparison to students with other health conditions (N=2465) and students with …

Here, we delve into Demand Forecasting via Machine Learning, dissecting how to predict future demand using time-sensitive data. Westveer highlights key forecasting models, from the basic Simple Exponential Smoothing to the advanced SARIMA, applied to an electricity production dataset. The session, encapsulating …

Onderzoeksresultaten masterthesis gepresenteerd 'a predictive model of symptoms on pain in independently living frail elderly in palliative care'

Study design Cross-sectional study. Objectives The aims of this study were (1) to validate the two recently developed SCI-specific REE equations; (2) to develop new prediction equations to predict REE in a general population with SCI. Setting University, the Netherlands. Methods Forty-eight community-dwelling …

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 …

Data-driven condition-based maintenance (CBM) and predictive maintenance (PdM) strategies have emerged over recent years and aim at minimizing the aviation maintenance costs and environmental impact by the diagnosis and prognosis of aircraft systems. As the use of data and relevant algorithms is essential …

Infants attend daycare at an early age, which raises questions about children's sensitivity to the childcare environment and the role of different temperamental traits in their development in the early years. In a two-year longitudinal study with parent- and caregiver-reported data for Dutch children …

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 …