Objectives Multimorbidity—the co-occurrence of at least two chronic diseases in an
individual—is an important public health challenge in ageing societies. The vast majority of …

The last 6 years have seen sustained investment in health data science in the United
Kingdom and beyond, which should result in a data science community that is inclusive of all …

Background Several new classes of glucose-lowering medications have been introduced in
the past two decades. Some, such as sodium-glucose cotransporter 2 inhibitors (SGLT2s), …

This article proposes a user-adaptable and personalized authentication paradigm for
healthcare organizations, which anticipates to seamlessly reflect patients’ episodic and …

Future-generation healthcare systems will be highly distributed, combining centralised
hospital systems with decentralised home-, work-and environment-based monitoring and …

SMT solvers can be used efficiently to search for optimal paths across multiple graphs when
optimising for certain resources. In the medical context, these graphs can represent …

This paper makes a direct contribution to the mathematical theory and practical implementation
of interpretable deep fuzzy learning whilst addressing the model interpretability …

The potential of healthcare systems worldwide is expanding as new medical devices and
data sources are regularly presented to healthcare providers which could be used to …

Common chronic conditions are routinely treated following standardised procedures known
as clinical guidelines. For patients suffering from two or more chronic conditions, known as …

In this paper we define a formal strongly consistent transformation from UML2 sequence
diagrams to coloured Petri nets (CPNs). We define the language of sequence diagrams (set of …