Natural Language Generation for Personalised Recommendations in Healthcare

Last modified by Andrea Omicini on 23/07/2021 11:27

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 Data

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out-of-date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

2008 © aliCE Research Group @ DEIS, Alma Mater Studiorum-Università di Bologna
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