Project for the course of Applied Statistics for Mathematical Engineering, academic year 2021-2022.

Project supervisors: Chiara Masci, Francesca Ieva, Alessandra Ragni.

Team members

• Tomaso Castellani (GitHub, Linkedin)
• Gabriele Corbo (GitHub, Linkedin)
• Davide Fabroni (GitHub, Linkedin)
• Marco Lucchini (GitHub, Linkedin)

Heart failure is a pathophysiological state in which the heart fails to supply the required amount of blood and oxygen to the body. It is a common, costly, chronic and potentially fatal condition widespread all over the world. The main aim of this study is to provide statistically relevant methods for identifying the potentially high-risk patients in advance and understanding which are the main patient-level features that have an impact on the re-hospitalization. Moreover, another goal of the project is to find out if there are differences among patients due to a possible hospital effect. Finally, another purpose is to evaluate the impact of adherence to the drugs in (re)-hospitalizations. The study is based on the recordings of the hospitalizations and the medical prescriptions of 187493 patients from the Lombardy region but in this project, the main focus is centred on the people from Milano.

The poster.pdf is the summary of all the work done, the QRCode on it is connected to a WebApp created to show all the extra results obtained.