Personalized predictive medicine necessitates the modeling of patient illness and care
processes, which inherently have long-term temporal dependencies. Healthcare …

Feature engineering remains a major bottleneck when creating predictive systems from
electronic medical records. At present, an important missing element is detecting predictive …

Personalized predictive medicine necessitates modeling of patient illness and care
processes, which inherently have long-term temporal dependencies. Healthcare …

Prevention and treatment of complications are the backbone of medical care, particularly in
critical care settings. Early detection and prompt intervention can potentially prevent …

Background Multimorbidity, the co-occurrence of two or more diseases in one patient, is a
frequent phenomenon. Understanding how different diseases condition each other over the …

Acute kidney injury (AKI) commonly occurs in hospitalized patients and can lead to serious
medical complications. But it is preventable and potentially reversible with early diagnosis …

The interest for patient trajectory prediction, a sort of computer-aided medicine, has steadily
increased with the pace of artificial intelligence innovation. Notwithstanding, the design of …

In the 20th century, it is evident that there is a massive evolution of chronic diseases. The
data mining approaches beneficial in making some medicinal decisions for curing diseases …

As an attractive area of application in the sphere of cultural heritage, in recent years
automatic analysis of ancient coins has been attracting an increasing amount of research …

The rapidly expanding corpus of medical research literature presents major challenges in
the understanding of previous work, the extraction of maximum information from collected …