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

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Thesis

Supervision

— supervisor
Andrea Omicini
— co-supervisor
Stefano Mariani

Category

2nd-Cycle Thesis

Status

out-of-date

Language

wgb.gif

Dates

— available since
15/03/2018

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