Analysing disease trajectories in a cohort of 71,849 Patients: A visual analytics and statistical approach.

Background: Disease trajectories have become increasingly relevant within the context of an aging population and the rising prevalence of chronic illnesses. Understanding the temporal progression of diseases is crucial for enhancing patient care, preventive measures, and effective management.

Objective: The objective of this study is to propose and validate a novel methodology for trajectory impact analysis and interactive visualization of disease trajectories over a cohort of 71,849 patients.

DigiHEALTH: Suite of Digital Solutions for Long-Term Healthy and Active Aging.

The population in the world is aging dramatically, and therefore, the economic and social effort required to maintain the quality of life is being increased. Assistive technologies are progressively expanding and present great opportunities; however, given the sensitivity of health issues and the vulnerability of older adults, some considerations need to be considered. This paper presents DigiHEALTH, a suite of digital solutions for long-term healthy and active aging.

Visualization System for the Impact of Context Open Data in Clinical Settings.

The usage of context open data, such as environmental data, socio-economic resources, etc., in clinical settings has been limited till now. But in recent years the number of studies that consider these factors is increasing.