BACKGROUND/AIMS Malnutrition is a common clinical problem causing poor outcomes, including longer hospital stays, complications, functional decline, and mortality. Oral nutritional supplements (ONS) are a key component of medical nutrition therapy for patients who cannot meet their nutritional needs …

By addressing the sub-research questions, the main research question and data mining goal were answered. Drought tolerance can be quantified using yield loss between control and drought treatments and robustly assessed by ranking varieties within each year. Varieties that consistently rank high or low …

Achtergrond Het integreren van zorg voor (risico op) ondervoeding en sarcopenie in de eerstelijnszorg is uitdagend, omdat de beperkte fysieke nabijheid van zorgprofessionals de samenwerking bemoeilijkt. Beide aandoeningen komen veel voor bij thuiswonende ouderen en gaan gepaard met aanzienlijke achteruitgang …

Accurate and reliable decision-making in the criminal justice system depends on accurate expert reporting and on the correct interpretation of evidence by the judges, prosecutors, and defense lawyers. The present study aims to gain insight into the judiciary's capability to assess the accuracy and reliability …

BACKGROUND: In geriatric oncology, family members frequently accompany patients during medical consultations, providing emotional and practical support while participating in shared decision-making (SDM). Family involvement in SDM can facilitate the decision-making process but also pose challenges for …

Samenvatting Behandelbeslissingen voor oudere oncologie patiënten zijn vaak complex. Dit komt door de grote variatie in achtergrond, comorbiditeiten, functionele capaciteiten en de impact van kankerbehandelingen op zowel de levenskwaliteit als de levensverwachting. In deze context is samen beslissen, …

The workload in the healthcare sector is increasing, requiring the need for innovative solutions. One such solution is for AI to assist in clinical decision-making by extracting information from patient’s records. To ensure healthcare professionals stay in the lead, the reasoning of the AI should be …

The rapid advancement of Generative AI (GenAI), particularly large language models (LLMs), has significantly reshaped how individuals and organizations engage in decision-making. From customer service and education to strategic planning and design, these technologies are no longer limited to providing …

The widespread adoption of generative agents (GAs) is reshaping the healthcare landscape. Nonetheless, broad utilization is impeded by restricted access to high-quality, interoperable clinical documentation from electronic health records (EHRs) due to persistent legal, ethical, and technical barriers. …

This research explored whether machine learning models could predict shifts in participants’ preferences and attitudes towards energy solutions based on behavioural and self-reported engagement data collected during visual educational interventions. Through four sub-questions, the study evaluated how …