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
Tags:

Tesi

Natural Language Generation for Personalised Recommendations in Healthcare

Supervisione

— relatore o relatrice

Andrea Omicini

— correlatore o correlatrice

Stefano Mariani

Tipo

— livello

tesi di laurea magistrale

— stato

tesi obsoleta

— lingua

wgb.gif

Date

— disponibile da

15/03/2018

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