Executive summary The 2024 update of the Lancet Commission on dementia provides new
hopeful evidence about dementia prevention, intervention, and care. As people live longer …

Background Artificial intelligence (AI) holds the promise of supporting nurses' clinical
decision-making in complex care situations or conducting tasks that are remote from direct …

Mixed data comprises both numeric and categorical features, and mixed datasets occur
frequently in many domains, such as health, finance, and marketing. Clustering is often …

Aggressive behavior in patients with psychiatric disorders is attracting increasing research
interest. One reason for this is that psychiatric patients are generally considered more likely …

Objectives Fairness is a core concept meant to grapple with different forms of discrimination
and bias that emerge with advances in Artificial Intelligence (eg, machine learning, ML). Yet …

Background The prevalence of dementia is expected to rapidly increase in the next
decades, warranting innovative solutions improving diagnostics, monitoring and resource …

The world is facing major societal challenges because of an aging population that is putting
increasing pressure on the sustainability of care. While demand for care and social services …

Introduction Behavioral and psychological symptoms of dementia (BPSD) signal distress or
unmet needs and present a risk to people with dementia and their caregivers. Variability in …

Given the growing number of older people, society as a whole should ideally provide a
higher quality of life (QoL) for its ageing citizens through the concept of personalised ageing …

Objectives. We aimed to identify and classify the Internet of Things (IoT) technologies used
for Alzheimer's disease (AD)/dementia as well as the healthcare aspects addressed by …