Predictive Query-based Pipeline for Graph Data

In the context of the DOING project, funded by APR-IA and based in the Val de Loire region of France, we've been developing a methodology (pipeline) to extract meaningful information from graph data. So, this work was funded by the DOING project. Our primary goal is to structure this information into a graph database, creating a knowledge graph that can be intelligently manipulated. To ensure practical application, we've focused on the health sector as our domain of interest. The DOING project is dedicated to developing data science queries that can facilitate informed decision-making by specialist professionals.