APICe » Theses » Natural Language Generation for Personalised Recommendations in Healthcare

Natural Language Generation for Personalised Recommendations in Healthcare 


The thesis aims at designing a prototype system taking the opportunity of applying Natural Language Generation (NLG) as part of a strategy to generate and deliver personalised recommendation messages to chronic patients suffering from various diseases requiring constant activities such as physical exercise, taking medications, sleep monitoring, etc.

Keywords: healthcare, nlg, recommendation


Stefano Mariani (Contact)
Andrea Omicini (Supervisor)
Stefano Mariani (Co-supervisors)