Artificial intelligence (AI) is poised to make a veritable impact in medicine. Clinical decision
support (CDS) is an important area where AI can augment the clinician's capability to collect …

Domestic violence (DV) is a public health crisis that threatens both the mental and physical
health of people. With the unprecedented surge in data available on the internet and …

We present a system for data‐driven therapy decision support based on techniques from the
field of recommender systems. Two methods for therapy recommendation, namely …

The modern evolution of healthcare systems towards even more complex networks has
highlighted the emerging need of a standardized and interoperable model for the …

Increasing learning ability from massive medical data and building learning methods robust
to data quality issues are key factors toward building data-driven clinical decision support …

Managing process variability enable the process model adaptability according changes in
the application environment. In the healthcare area, flexibility is essential to provide a quality …

Abstract “Patient-Centric AI: Advancing Healthcare through Human-Centered Innovation”
delves into the pivotal role of AI in healthcare, specifically emphasizing its focus on …

The health care process involves a set of massive data that can be of different types and
placed in different places. The digitization of information, if properly analysed, leads to an …

The goal described in this chapter is to imitate human cognitive functions in the context of
artificial intelligence. This translates into healthcare, enhanced by the availability of health …