Institute of Information and Communication Technologies (ITACA)
Data Science and Artificial Intelligence
Evidence based on data may be difficult to analyze and may require stratification and predictive analytics tools. Visualization tools to classify and compare data may be necessary for decision making.
ITACA has a wealth of experience in predictive analytics and the development of decision support systems.
Relevant projects in this area
The strategic challenge of PREDATICS is to make a qualitative leap in the knowledge of the relationships between pollution, meteorological conditions, air quality and...
NCDs, especially diabetes and cardiovascular diseases (CVDs), are the leading causes of morbidity and mortality worldwide, accounting for 17.9 million deaths per year....
Artificial intelligence (AI) is increasingly integrated into daily medical practice. However, if AI systems fail to account for the variability inherent in medical data...
Unlocking the full potential of health-related data remains a challenge for researchers, innovators, and policymakers within the HealthData@EU framework, where datasets...