Computational Intelligence for Digital Health: A brief summary of our research work

In the last few decades, a digitization process has involved various aspects of daily life, and the healthcare sector is one of the fields most heavily affected by this digital transformation. Artificial Intelligence, and in particular Computational Intelligence (CI) techniques, such as Neural Networks and Fuzzy Systems, have proven to be promising methods for extracting meaningful knowledge from medical data and for developing intelligent systems for faster diagnosis, improved monitoring and effective healthcare. CI-based systems can learn models from data that evolve as data changes, taking into account the uncertainty that characterizes health data and processes. Our group working at the Computational Intelligence Laboratory (CILab) of the Department of Computer Science, University of Bari, is currently carrying out scientific research on the application of CI techniques to Digital Health problems.