In de gezondheidszorg zijn datasets van klinische onderzoeken vaak hoogdimensionaal en hebben ze een kleine steekproefomvang, wat het risico op overfitting vergroot. Bovendien richt onderzoek in deze context zich doorgaans niet alleen op de nauwkeurigheid van de resulterende modellen, maar ook op de …

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. …

The prevention and diagnosis of frailty syndrome (FS) in cardiac patients requires innovative systems to support medical personnel, patient adherence, and self-care behavior. To do so, modern medicine uses a supervised machine learning approach (ML) to study the psychosocial domains of frailty in cardiac …

Multilevel models using logistic regression (MLogRM) and random forest models (RFM) are increasingly deployed in industry for the purpose of binary classification. The European Commission’s proposed Artificial Intelligence Act (AIA) necessitates, under certain conditions, that application of such models …

Verschenen in het kader van het onderzoeksgebied: 'Monitoring and Predicting on Physical Performance in Daily Life and Sports'

Abstract Background: We studied the relationship between trismus (maximum interincisor opening [MIO] ≤35 mm) and the dose to the ipsilateral masseter muscle (iMM) and ipsilateral medial pterygoid muscle (iMPM). Methods: Pretreatment and post-treatment measurement of MIO at 13 weeks revealed 17% of …

The number of primary rainforests in South-East Asia is in rapid decline since many formerly continuous forests become splintered as a result of human activities like mining, agriculture and silviculture. This study examined the effects of forest fragment size and logging on the tree carbon stocks and …

Agent-based models (ABMs) are important tools for predicting infectious disease epidemics and for designing effective interventions. ABMs take into account individual differences, for instance in contact rate. The drawbacks of ABMs are high complexity and low performance. In this paper, we present a …