Cyberbullying represents a pervasive and evolving threat within digital environments, exacerbated by the scale, anonymity, and immediacy of online interactions. While recent advances in Artificial Intelligence (AI), particularly in Natural Language Processing (NLP), have significantly improved the ability to automatically detect harmful content, a critical gap persists between detection and effective intervention. Existing approaches primarily […]
Processing healthcare data presents significant challenges for clinicians, particularly in chronic disease management such as diabetes care. Traditional data aggregation and summarization methods often struggle to integrate the diverse data sources of health information, ranging from structured electronic health records to unstructured clinical notes. In response to this challenge, the paper proposes a reference framework […]
The goal of the proposed paper is to provide a preliminary Artificial Intelligence (AI) approach addressing the analysis on the prevention of diabetes. The study is performed within the framework of the research project Telediabetolab and focuses on the check of the supervised Support Vector machine (SVM) algorithm to define a method to perform a […]