Nowadays, data-driven methodologies based on the clinical history of patients represent a promising research feld in which personalized and intelligent healthcare systems can be opportunely designed and developed. In this perspective, Machine Learning (ML) algorithms can be efciently adopted to deploy smart services to enhance the overall quality of healthcare systems.
In this work, starting from an in-depth analysis of a data set composed of millions of medical booking records collected from the public healthcare organization in the region of Campania, Italy, we have developed a predictive model to extract useful knowledge on patients, medical staf, and related healthcare structures. In more detail, the main contribution is to suggest a Deep Learning (DL) methodology able to predict the access of a patient in one or more medical facilities of a fxed set in the immediate future, the subsequent 2 months.
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